********************GradStudentPositions******************** The Boyd lab at Virginia Commonwealth University is currently seeking a graduate student to start in the fall of 2021. My research group studies the evolution of insect-microbial partnerships. Over the last 480 million years, insects have repeatedly formed partnerships with microbes to gain novel and adaptive functions. The gain of beneficial partners has been particularly important for the evolution of vertebrate parasitism by insects. My lab is currently focused on understanding the roles of beneficial microbes in parasitic insects, with multiple lines of research on both blood and feather feeding lice. The successful applicant will have opportunities to study one or more elements of the louse microbiome and how each element has contributed to the evolution of insect parasitism. The student will gain experience in bioinformatics; phylogenetics and phylogenomics; comparative phylogenetics; genome sequencing, assembly, and annotation; comparative genomics; entomology; and molecular biology. My lab is located in the heart of the VCU Monroe Park Campus in Richmond, Virginia, USA. The VCU campus is integrated into the downtown area, with close access to restaurants and the James River. PhD students will apply through the Integrative Life Sciences program and Masters students will apply through the Bioinformatics program. Integrative Life Science PhD program: https://lifesciences.vcu.edu/academic-programs/phd-in-integrative-life-sciences/ Masters in Bioinformatics: https://cbds.vcu.edu/academics/graduate/ Candidates should have a background in a relevant field (biological sciences, bioinformatics, entomology, or microbiology) and be willing to work with collaborators at other US institutions. Experience with molecular biology, bioinformatics, and phylogenetics is preferred. To learn more about my research, please visit my lab page at https://rampages.us/bboydlab/ Interested applicants should submit a cover letter describing your interest, relevant experience, and career goals and a CV to boydbm@vcu.edu. Bret Boyd ********************Jobs******************** A full-time Research Technician position in Molecular Biology is available within an ERC consolidator grant at the laboratory of Sara Magalhães (https://mitesquad.weebly.com/) at the Centre for Ecology, Evolution and Environmental Changes (http://ce3c.ciencias.ulisboa.pt/), University of Lisbon, Portugal. The candidate is expected to have a Master degree in Biology, a thorough scientific and/or professional experience in molecular biology, to be fully independent in applying several techniques (DNA extraction for Next Generation Sequencing, diagnostic PCRs and qPCRs) and in organizing his/her work. Preference will be given to candidates with experience in bioinformatics (processing of Next Generation Sequencing data). We are especially seeking a candidate who enjoys working in a group, respects the lab tidiness and appreciates learning tasks unrelated to molecular biology (he/she will assist occasionally the other lab members in tasks involving plant and spider mite manipulation). Applicants should follow the procedure in the attached document. In case of doubt, please contact us at snmagalhaes@fc.ul.pt. Application deadline: October 14, 2020 Starting date: flexible (ideally November 2020). Duration: 20-months with the possibility of an extension until the end of project. Place: Faculdade de Ciências da Universidade de Lisboa. Project title: Competition under niche construction (COMPCON) Funding: ERC Consolidator Grant, 2017-2022. Sara Magalhães, Assistant Professor, https://mitesquad.weebly.com/ Centre for Ecology, Evolution and Environmental Changes http://ce3c.ciencias.ulisboa.pt/ Faculdade de Ciencias da Universidade de Lisboa http://www.fc.ul.pt/ Campo Grande Lisboa researcher ID: http://www.researcherid.com/rid/B-9673-2012 Sara Magalhaes ********************Jobs******************** Tenure-Track Assistant Professor in Microbial Ecology McMaster University is located on the traditional territories of the Haudenosaunee and Mississauga Nations, and within the lands protected by the Dish with One Spoon wampum agreement. Position Description The Department of Biology at McMaster is seeking candidates to fill a tenure-track faculty position at the Assistant Professor level in the area of Microbial Ecology. The preferred start date for the appointment is July 1, 2021. The successful candidate must have a Ph.D. degree in Biology, Life Sciences or a related discipline, a record of research excellence in microbial ecology, strong communication skills, and demonstrate a commitment to working effectively with individuals from diverse communities and cultures. The successful candidate should clearly demonstrate the potential to develop a prominent, externally funded research program, and be strongly committed to excellence in teaching and mentorship at the undergraduate and graduate levels. All potential candidates whose research focuses on any aspect of microbial ecology are encouraged to apply; however, we are particularly interested in those examining plant-microbe interactions, and those employing -omics and meta-omics approaches (genomics, transcriptomics, proteomics, and/or metabolomics) and bioinformatic tools to examine these interactions. The Department of Biology is a thriving community of scientists working in diverse areas, who are committed to excellence and innovation in research, training, teaching, and outreach. The Department has 30 full time research-active faculty members, 2 teaching-track faculty members, ~80 graduate students, and ~900 undergraduate students. For more information on the Department, please visit https://biology.mcmaster.ca/. McMaster University is a globally renowned institution of higher learning and a research community committed to advancing human and societal health and well-being. Our focus on collaboratively exchanging ideas and approaches makes us uniquely positioned to pioneer ground-breaking solutions to real-world problems leading to a Brighter World. The Faculty of Science works to create global impact by advancing scientific discovery and knowledge, and promoting greater understanding. Our innovative, interdisciplinary approach generates new methods and insights, results, and lasting change.Go Commitment to Inclusive Excellence The diversity of our workforce is at the core of our innovation and creativity and strengthens our research and teaching excellence. In keeping with its Statement on Building an Inclusive Community with a Shared Purpose, McMaster University strives to embody the values of respect, collaboration and diversity, and has a strong commitment to employment equity. The University seeks qualified candidates who share our commitment to equity and inclusion, who will contribute to the diversification of ideas and perspectives, and especially welcomes applications from First Nations, M¨¦tis and Inuit peoples, members of racialized communities ("visible minorities"), persons with disabilities, women, persons who identify as 2SLGBTQ+. We invite all applicants to complete a brief Diversity Survey, which takes approximately two minutes to complete, through McMaster'¯s application submission portal. All questions are voluntary, with an option to decline to answer. All information collected is confidential and will be used to support efforts to broaden the diversity of the applicant pool and to promote a fair, equitable and inclusive talent acquisition process. Job applicants requiring accommodation to participate in the hiring process should contact the Office of the Dean, Faculty of Science at baileyd@mcmaster.ca to communicate accommodation needs. How to Apply Complete applications must be made online at https://hr.mcmaster.ca/careers/current-opportunities/ (Faculty Positions, Job 34307) by the deadline to the attention of Dr. Marie Elliot, Professor & Chair, Department of Biology, McMaster University, 1280 Main Street West, Hamilton, Ontario, L8S 4K1. A complete application consists of: - a cover letter (including a statement regarding whether the applicant has Canadian citizenship / permanent resident status (see below)) - a current Curriculum Vitae, and three (3) representative publications - a statement of research - a statement of teaching philosophy and interests - a statement of experience and plans for advancing equity, diversity and inclusion in post-secondary education, community-based or other professional settings (2-page maximum) - the names and full contact information of at least three referees. Letters of reference are not required and will not be reviewed at the application stage; the Department will request letters of recommendation from referees at later stages of the search process. Review of complete applications will begin November 1, 2020 and continue until the position is filled. All applicants will receive an on-line, system-generated confirmation of receipt of their application; however, only short-listed applicants will be contacted for interviews. Progressive policies are in place to assist faculty members achieve a work-life balance. Salary will be commensurate with qualifications and experience. All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority. To comply with the Government of Canada'¯s reporting requirements, the University is obliged to gather information about applicants'¯ status as either Permanent Residents of Canada or Canadian citizens. Applicants need not identify their country of origin or current citizenship; however, all applications, as stated above, MUST include one of the following statements in their application package. Applications that do not include this information will be deemed incomplete. Yes, I am a citizen or permanent resident of Canada No, I am not a citizen or permanent resident of Canada. biolchr@mcmaster.ca ********************Other******************** I am looking for up to 2 internship students, at either the BSc or MSc level, to work with me on my project on mating systems biology and ecology in Plovers in Madagascar. Since 2002, the breeding systems of three species (Madagascan Plover, White-fronted Plover, Kittlitz's Plover) have been studied intensively across Madagascar. The positions will span a period of up to 6 months, with some flexibility in the time period. Ideally, the students will be based in Debrecen, however, given current global circumstances, I am also happy to consider working remotely. If students do come to Hungary, the project will cover some of their living costs. For highly motivated students and/or those with the appropriate experience, I am willing to consider the possibility of extending their projects and covering the costs for them to visit and work at our field site in SW Madagascar in spring 2021. This project is in collaboration with Tamás Székely (University of Bath; University of Debrecen) and Sama Zefania (University of Toliara). I would particularly welcome students who have their own ideas and questions that they would like to explore and develop using the Plover system. Potential topics include habitat choice, mating system evolution, nesting success, incubation behaviours and dispersal. This is an excellent opportunity for students to learn how to manage and drive an independent project. Debrecen is the second largest city in Hungary and has a lively university community. The University of Debrecen was established in 1538, and it is one of the prestigious universities in Central Europe. The university has over 4000 students - many are from abroad. The Dept. of Evolutionary Zoology and Human Biology is one of the leading departments in natural sciences. Debrecen Airport has connections with some of the main European airports. Debrecen is located close to Hortobagy National Park, a UNESCO-recognised protected area and an excellent location for wildlife. If you have any questions, please do not hesitate to get in touch. Email: wjonesdebrecen"at"gmail.com Twitter: @jacanajones Website: https://elvonalshorebirds.com/ Website: https://williamjonesresearch.wordpress.com/ Video of the Madagascar field site: https://youtu.be/fOMDSNK38eY ********************Other******************** The National Ecological Observatory Network (NEON) Biorepository at Arizona State University's Biocollections is curating and making available for research over 110,000 samples and specimens collected each year as part of the NEON project. NEON's standardized and structured sampling of invertebrate communities contributes a major component of this sample catalog. At each of its 47 terrestrial field sites that span 20 ecoregions within the United States, including Puerto Rico, Hawaii, and Alaska, NEON conducts a number of sampling protocols that result in pinned and bulk specimens and DNA extractions from carabids, mosquitos, ticks, and ground-dwelling invertebrate community-level samples. The Biorepository currently has over 45,000 available terrestrial invertebrate samples and specimens and expects to add more than 40,000 each year. To date these samples comprise 335 identified taxa, as well as a broad range of diversity held within bulk bycatch samples. Note that NEON aquatic invertebrate sampling is also underway, but the associated Biorepository collections are not yet available for research. Please contact the Biorepository at biorepo@asu.edu if you are interested in these sample types. All NEON Biorepository samples are directly tied to the research design and purpose of the NEON project, i.e., to facilitate long-term monitoring/forecasting of ecological and evolutionary processes on a continental scale. Therefore, the available specimens are representative of populations and communities in the field and associated with high-resolution environmental and organismal data. Samples received to date are appropriate for answering a wide variety of scientific questions related to community/population/phylo- genetics, population/community structure, microbiomes, disease/microbial/ecosystem/macro- ecology, etc. Many of the invertebrate sample classes in particular are well-suited to studies of intra- and interspecific variation within and between sites and seasons. In particular, we encourage researchers to consider the use of NEON Biorepository samples in projects proposed to the National Science Foundation Macrosystems Biology and NEON-Enabled Science (MSB-NES): Research on Biological Systems at Regional to Continental Scales program (due November 9th). From the program solicitation: "Proposers are encouraged to use NEON resources, and proposals for substantive and innovative NEON-enabled research will be prioritized for funding. Substantive NEON-enabled projects rely on data and/or samples collected by NEON, co-locate research activities at NEON sites, and/or develop tools that will explicitly enhance the processing, use, and/or analysis of NEON data or collections within the context of Macrosystems Biology research questions." Please contact NEON Invertebrates Collections Manager Andrew Johnston and Cryo Collections Manager Azhar Husain at biorepo@asu.edu for more information about opportunities and sample availability. To explore available samples, visit the NEON Biorepository data portal at https://biorepo.neonscience.org/. -- Kelsey Yule, PhD NEON Biorepository Biodiversity Knowledge Integration Center School of Life Sciences Arizona State University she/her/hers website NEON Biorepository Data Portal *I acknowledge that I live and work on the unceded land of the Akimel O'odham people.* Kelsey Yule ********************WorkshopsCourses******************** Dear all, Please find below the preliminary schedule and general aims of the course, "An introduction to bioinformatic tools for population genomic data analysis", offered November 9-13 2020 by the Department for Marine Sciences, University of Gothenburg. There is no course fee. Due to Covid-19 restrictions, the course will be offered via Zoom this year. The course will be open to a maximum of 18 students, as large parts of the course will consist of hands-on exercises. The aim is a broad mix of students both from the University of Gothenburg and from the outside, mainly PhD students but postdocs are also welcome to apply. Knowledge of general molecular biology and genetics is necessary, as is some previous experience with command-line interfaces. Previous experience working on a remote server will also be beneficial. No previous bioinformatics skills are needed, however. For more information and registration, see: https://sites.google.com/view/bioinformaticpipelines2020/home or https://fubasdoc.gu.se/fubasextern/info?kurs=NMAR302 Deadline for registration is October 25th 2020. All students need to have their own computers with an ssh client installed for work on remote servers. Best wishes, Pierre De Wit, Mats Topel, Mikhail Matz ----- An introduction to bioinformatic tools for population genomic data analysis, 2.5 higher education credits Third Cycle Faculty of Science; Department of Marine Sciences University of Gothenburg 1. Course content This course aims at detailed understanding and hands-on experience of using state of the art bioinformatics pipelines for one's own biological research questions. An important aspect of the course is to show how genomic data can be applied to address and answer research questions in the fields of genetics, ecology, population biology, biodiversity monitoring and conservation. The students will be trained in the latest bioinformatic methods to analyze high throughput sequencing data, which is present in many research projects. The course will cover basic computing tools required to run command line applications, processing high throughput sequencing data of whole genome / exome / restriction site digested (RAD) DNA for population genomic studies. The first part of the course introduces general computing tools for beginners such as the UNIX command line environment, bash commands, data formatting using regular expressions and basic scripting in the Unix shell with a series of examples and exercises using a remote server. The course introduces bioinformatics software for analysis of RAD-data, and downstream population genetic analysis of genotype data. The course also introduces basic and advanced concepts of population genomics data analysis such as genome assembly, alignment/mapping, SNP genotyping, PCA, population structure analysis, outlier tests, and demographic analysis based on allele frequency spectra (AFS). The course corresponds to 1.5 weeks of full time studies and and is composed of lectures, demonstrations and computer labs. 2. Learning Outcomes 1. Knowledge and understanding 1a. Demonstrate advanced knowledge of experimental strategies, applications and bioinformatic tools for population genomics. 1b. Demonstrate advanced knowledge of the potential of genomics approaches to answer ecosystem-wide questions, in particular for biodiversity monitoring. 2. Skills and abilities 2a. Ability to use basic commands in the Unix command line environment (reformatting data with regular expressions, basic scripting, running python scripts from the Unix shell) 2b. Ability to use different software tools to analyse sequence data from restriction-site digested DNA (data cleaning steps, clustering of reads, mapping to reference genomes, extracting and filtering genotype data. 2c. Ability to use population genomics software tools to assemble and a genome/transcriptome, and perform gene alignment/mapping, differential gene expression, functional enrichment tests, SNP genotyping, PCA, outlier tests, population structure, and demographic analysis. 3. Judgement and approach 3a. Formulate one's own research questions, identify data and tools needed to answer these questions and critically evaluate and analyse the results. 3. Suggested reading General computing tools. Useful textbooks for the introduction of general computing tools: - Haddock and Dunn (2010). Practical computing for Biologists. Sinauer Associates. - Buffalo (2015). Bioinformatics data skills - Reproducible and robust research with open source tools. O'Reilly Media inc. Genome Assembly Baker (2012). De novo genome assembly: what every biologist should know. Nature Methods 9, 333-337. Population genomic data analysis. - Davey et al. (2011). Genome-wide genetic marker discovery and genotyping using next-generation sequencing. Nature Reviews Genetics 12, 499-510. - Wang et al. (2012). 2b-RAD: a simple and flexible method for genome- wide genotyping. Nature Methods 9, 808-810. - De Wit et al. (2012). The simple fool's guide to population genomics via RNA-seq: an introduction to high-throughput sequencing data analysis. Molecular Ecology Resources 12, 1058-1067. - Korneliussen et al. (2014). ANGSD: Analysis of Next Generation Sequencing Data. BMC Bioinformatics 15, 356. Online resources: - The simple fool's guide to population genomics via RNA-Seq: an introduction to high-throughput sequencing data analysis. Details can be found at (https://github.com/DeWitP/SFG) - UNIX command line exercises (https://github.com/The-Bioinformatics-Group/Learning_Unix/wiki/An- introduction-to-bioinformatic-tools-for-population-genomic-data- analysis) Practical computing for Biologists (http://practicalcomputing.org) - Github repositories: https://github.com/z0on/2bRAD_GATK https://github.com/z0on/2bRAD_denovo https://github.com/DeWitP/Bioinformatic_Pipelines 4. Assessment Assessment will be done through observation of the outcome of the hands-on exercises. In addition, the final day of the course contains an exercise where participants will apply newly learnt skills to a given dataset, followed by group presentations of results. 5. Grading scale The grading scale comprises Fail (U), and Pass (G). 6. Course evaluation The course evaluation will be carried out through an online questionnaire. 7. Additional information Language of instruction will be English 8. Preliminary course schedule Course format: 2.5 hp course, fulltime. Teachers: Pierre De Wit (PDW), Mats Topel (MT), Mikhail Matz (MM), Ellika Faust (EF) & Matthew Pinder (MP) * Day 1: Introduction to general computing tools (MT, MP) Format: 3 hours lecture and demo sessions, 3 hours computer labs, assigned exercises Day 1 of the course will be an introduction to general computing tools, such as the Unix command line environment. We will go through bash commands (less, nano, ls, ll, wc, |, tail, head, mkdir, cat, grep), regular expressions, basic scripting, and running python scripts from the Unix shell with a series of examples. Exercises and assignments will be based on the "Learning Unix" Github repository. There will also be a presentation of useful bioinformatics software. Part of day 1 will also be concerned with working on a remote server, using the University of Gothenburg's Albiorix cluster as a training tool. Students will be provided with guest accounts. This portion of the course is to refresh the students' knowledge of the command line environment and the shell, a tool for interacting with the computer through typed instructions at the command line. Exercise sessions will be carried out in pairs to encourage collaborative problem solving. All lectures will be made dynamic through live demonstrations of the command line. Detailed course material including commands and scripts will be available through the course web page. This part of the course corresponds to learning outcome 2a: "Ability to use basic commands in the Unix command line environment" (reformatting data with regular expressions, basic scripting, running python scripts from the Unix shell) * Day 2: Introduction to Genome assembly (MT, MP) We will discuss the differences between short- and long-read DNA/RNA sequencing approaches, and how they are applied to solve different assembly problems. In the afternoon practical you will work on a bacterial genome assembly and explore the effect of different settings on the assembly result. Format: Lecture and demo sessions, computer labs, assigned exercises. There will also be a demonstration of tools for whole genome assembly (from PacBio and Illumina data). * First half of Days 3 & 4: Population Genomics pipeline using whole genome/exome data (PDW, EF, MP) Format: Lectures and hands on sessions (computer labs) This part of the course will cover an introductory lecture and practical session run through of the parts of "the simple fool's guide to population genomics via RNA-Seq: an introduction to high-throughput sequencing data analysis". Details can be found at (https://github.com/DeWitP/Bioinformatic_Pipelines). Lecture: Population genomics via RNA-seq: an introduction to high-throughput sequencing data analysis (PDW) Practical session: A hands on practical session based on the which will cover alignment/mapping, SNP genotyping (using GATK). The practical session will encourage students to collaborate and work in pairs to enhance communication and understanding. This part of the course corresponds to learning outcome 2c: "Ability to use population genomics software tools to assemble and annotate a genome/transcriptome, and perform gene alignment/mapping, SNP genotyping, PCA, outlier tests, population structure" * Second half of Days 3 & 4: Demographic analysis of genotyping data using AFS-based methods (Dadi / Moments) (MM). Format: Lecture and live demonstrations of software. Students will follow instructions analyzing data on HPC cluster. Topics: * Exploring allele frequency spectra * Pairwise analysis of population sizes and migration rates * Population size changes through time * Demographic model selection using delta-AIC criterion * Day 5: Class project: students will perform analysis of a new genotyping dataset and a new gene expression dataset on their own, using skills learned in the class. (PDW, MT, EF, MP, MM) This part of the course corresponds to learning outcome 2b: "Ability to use different software tools to analyse sequence data from restriction-site digested DNA (data cleaning steps, clustering of reads, mapping to reference genomes, extracting and filtering genotype data, population genomic analysis". Pierre De Wit, Docent University of Gothenburg, Department of Marine Sciences Tjärno Marine Laboratory Laboratorievägen 10 452 96 Stromstad Sweden Phone: +46 31 786 9550 https://www.gu.se/en/about/find-staff/pierredewit Pierre de Wit ********************Conferences******************** To ecologists and evolutionary biologists throughout the southeastern United States, On behalf of the Department of Biological Sciences at Auburn University, we invite you to the 46th annual Southeastern Population Ecology and Evolutionary Genetics Conference (SEPEEG). This meeting is intended to be a supportive and engaging event to to bring together students, postdocs, and faculty with ties to the southeastern United States. Typically, this meeting is a single-session, collaborative conference/retreat environment that fosters informal research discussions and social interactions. As a result of the COVID-19 pandemic, we have made the decision to postpone an in person meeting. However, due to the important opportunity this meeting provides to allow trainees to present research and network in an informal community of researchers, we have opted to continue with a fully online and interactive meeting this year. We have selected 4 days over the course of a week in which to promote fun and inviting conference activities for 1 to 3 hours at a time, coinciding with either lunch-time or evening. We anticipate having room for up 15-20 research presentations and 20-30 research posters as part of a virtual, live poster symposium that will be available on the conference website and connected through Zoom meetings. Presentation priority will be given to students, postdocs, and newcomers to the southeastern region. **** Conference: SEPEEG  **** What: 46th annual Southeastern Population Ecology and Evolutionary Genetics Conference Where: Online (hosted by Auburn University) When: 23, 26, 27, & 30 October 2020 **** Deadlines **** Registration: 5 PM October 2nd, 2020 **** Registration **** Register at: aub.ie/sepeeg20 Meeting website: https://auburn.edu/cosam/sepeeg20 *Registration is free* Please be sure to register by the October 2 deadline (even if you do not submit a talk/poster for consideration) so we can plan meeting logistics appropriately. To facilitate networking, we ask that you share your research interests at registration to help structure the breakout rooms. **** Tentative Schedule **** Times listed are for CENTRAL time zone and subject to further refinement   - Friday, October 23rd, 3:00 to 6:00PM Research Talk Session #1     - Five 15 minute research talks     - 30 minutes networking in breakout rooms     - Five 15 minute research talks   - Monday, October 26th, 11:30AM to 12:30PM Poster Session A     - Presenters of first half of posters available via zoom for chat   - Tuesday, October 27th, 11:30AM to 12:30PM Poster Session B     - Presenters of second half of posters available via zoom for chat   - Friday, October 30th, 3:00 to 6:00PM Research Talk Session #2     - Five 15 minute research talks     - 30 minutes networking in breakout rooms     - Five 15 minute research talks Contact either Laurie Stevison (lss0021@auburn.edu) or Matthew Wolak (terps@auburn.edu) We are looking forward to seeing you (virtually) at the meeting! Sincerely, Laurie and Matthew -- Matthew E. Wolak, Ph.D. Assistant Professor Department of Biological Sciences Auburn University 306 Funchess Hall Auburn, AL 36849, USA http://qgevoeco.com Email: matthew.wolak@auburn.edu Tel: 334-844-9242 Matthew Wolak ********************Conferences******************** The 6th International Conference on Quantitative Genetics, https://icqg6.org , will be presented virtually from Brisbane, Australia during November 2-12 (US time) and sessions will be recorded. The conference has simplified its scholarship application process. Graduate students and postdocs who attend US universities are eligible to apply for registration scholarships. Members of historically under-represented groups are especially encouraged to submit an application. Many scholarships will be awarded. To apply, please complete the short online form at https://forms.gle/ar9cvg9vCDh9Sqvq5 Applications must be submitted by October 4, 2020. Questions may be addressed to Bruce Weir at bsweir@uw.edu. Bruce S Weir ********************Conferences******************** Abstracts are being accepted until Sunday Sept 20th for the next COVID-19 Dynamics & Evolution Conference, to be held Oct 19-20, 2020. Inspired by the long-running HIV Dynamics & Evolution meeting, this (virtual) event will bring together researchers taking quantitative and computational approaches to studying the SARS-CoV-2/COVID-19 pandemic. We welcome abstracts on a range of topics including mathematical modeling (e.g. modeling interventions, epidemic forecasting efforts, methods for fitting models to data, within-host modeling), epidemiological analyses (e.g. estimating key epidemiological features/parameters like serial interval or fatality rate, designing and analyzing epidemiological studies like contact tracing efforts or vaccine trials) and phylogenetic studies (e.g. phylodynamic/phylogeographic analyses, identification and interpretation of novel mutations, estimating epidemiological parameters from viral genetic data). Further program details, registration, abstract submission, and details on our two previous meetings is available online: https://cpd.ucsd.edu/covid19 Alison Hill