********************GradStudentPositions******************** Postdoc and PhD positions in archaeogenomics, population genetics, bioarchaeology, and archaeological modeling Applications are invited for multiple Ph.D. and postdoc positions in an ERC-funded interdisciplinary research project on the Neolithic Transition in Southwest Asia. We seek applicants with backgrounds in molecular biology, population genetics, anthropology, archaeology, and computer science. The work will be conducted at METU, Ankara, in collaboration with Hacettepe University, and major Neolithic excavations in the region, including Çatalhöyük and A¿¿kl¿höyük. THE PROJECT: The successful applicants will join the 5-year research project ¿NEOGENE: Archaeogenomic analysis of genetic and cultural interactions in Neolithic Anatolian societies¿, supported by a European Research Council Consolidator Grant. Using state-of-the-art ancient genomics and modeling approaches, NEOGENE aims to shed fresh light on a most dramatic transition period in prehistory: the emergence of sedentism and farming 10,000 years ago in Anatolia. The project involves constructing genetic kinship networks in Neolithic villages, mapping inter-regional patterns of gene flow, describing the evolution and dispersal of domestic sheep, and joint modeling of material culture exchange and demic processes that drove the Neolithic Transition across West Eurasia. TASKS AND REQUIREMENTS: The successful candidates will be working in one of the following fields: · Ancient DNA: Researchers with PhD or MSc degrees in biology or a related field, to conduct wet lab experiments, including experimental protocol de velopment for DNA extraction, library preparation and capture. · Population genomics: Researchers with PhD or MSc degrees in population genetics, statistical genetics, or a related field, to work in genomic data analysis and population genetic modelling, including method development for demographic inference, kinship and selection estimation. · Human bioarchaeology: Researchers with an MSc/MA degree in anthropology, or a related field, with experience in human skeletal biology, to study bioarchaeological aspects related to Neolithization. · Archaeology < span style="font-size:11pt;font-family:Arial;color:black">: Researchers with PhD or MSc/MA degrees in archaeology, to work in archaeological data mining, digital archaeology, and statistical analysis. · Computer science: Researchers with PhD or MSc degrees in computer science or an informatics-related field, to work in archaeological modelling, evolutionary algorithms and simulation. EMPLOYMENT AND STUDY CONDITIONS: For postdocs, the positions are planned for 2 years, with possible extension. For Ph.D. students, the positions will be for 4 years, and the students will complete the METU and/or Hacettepe University Graduate Programs. Note that METU programs are in English. NEOGENE¿s diverse and vibrant research environment is composed of the research groups run by Mehmet Somel (evolutionary genetics and computa tional biology, at METU Biological Sciences: http://compevo.bio.metu.edu.tr/), Füsun -zer (ancient DNA at METU Biological Sciences, http://adna.bio.metu.edu.tr/en), Y¿lmaz Selim Erdal (human bioarchaeology, at Hacettepe Anthropology: http://hacettepe.academia.edu/Y%C4%B1lmazSelimErdal), Çi¿dem Atakuman (Neolithic archaeology and material culture studies at METU Settlement Archaeology: http://sa.metu.edu.tr/assoc-prof-dr-cigdem-atakuman), Elif Sürer (se rious games and simulation, at METU Informatics Institute: http://blog.metu.edu.tr/elifs). We also closely collaborate with multiple archaeology teams working in the region. METU is Turkey¿s top public research university, with t he largest share of national science funding among the country¿s universities. The METU student population stands at 27,000, and we host about 2,000 international students and staff. The successful candidates will receive salary commensurate with experience. They will further enjoy access to on-campus housing. The METU campus includes a >3,000 hectare forest area and a lake, with access to a wide selection of recreational sports. APPLICATION: For further information on NEOGENE, please contact Mehmet Somel (neogene@metu.edu.tr). Postdoc and PhD candidates should send (1) a CV, (2) a statement of interest that mentions the part of the project the candidate plans to work in (max. 2 pages), (3) contact information for three referees, (4) an academic transcript (for PhD student applications only), via email to neogene@metu.edu.tr. The emails should be titled according to the type of application and your area of interest (e.g. ¿PhD application, computer science¿, or ¿Postdoc application, ancient DNA¿). Applications will remain open until all positions are filled. The starting dates are flexible, but we expect the chosen candidates to start by Summer/Fall 2018. You can follow us at http://blog.metu.edu.tr/neogene, https://twitter.com/ERCNeogene and www.facebook.com/ERCNeogene somel.mehmet@googlemail.com ********************GradStudentPositions******************** A competitive PhD studentship in marine bioinformatics/molecular biology is available at Newcastle University, UK https://www.ncl.ac.uk/ rated as one of the top 150 universities in the world. This 3-year fellowship provides a full tuition fee waiver, a competitive living stipend, and a considerable research allowance. Title: Revealing Adaptive Divergence of Aquatic Rubiscos (RADAR) Abstract: Photosynthesis is the most important biological process on a planetary scale, and most of the known life depends on it. Photosynthesis harvests energy from the sun to combine carbon dioxide and water, and provide oxygen and the building blocks of life. Surprisingly for such an important process, photosynthesis is not very efficient. Less than 5% of energy from the sun is transformed into chemical energy of sugars by a typical crop plant like wheat or potato. Imagine how crop yields could be improved and how much land could be saved for wildlife if we would find a way to increase efficiency of photosynthesis! The good news is there are several potential ways to address this problem. Photosynthesis is a complex, multi-step process which gives rise to multiple opportunities to address the efficiency of the process. It is possible that multiple solutions could be combined in a single crop to produce more food and/or biofuel using less land and water. One of the bottle-necks in photosynthesis is the performance of an enzyme called Rubisco which is responsible for the fixation of carbon dioxide into sugars. Almost all organic carbon on Earth is fixed by Rubisco. Bacteria, algae and plants have different forms of Rubisco, and the most efficient ones are found in marine organisms. Rubiscos from plants represent 'the tip of an iceberg' yet they attracted most of the research effort. We propose to look at 'the understudied submerged part of an iceberg', Rubiscos from aquatic archaea, bacteria and algae, which are both the most abundant and structurally diverse. Aims: find and characterize new forms of Rubiscos and their chaperones from the aquatic environments for fundamental research and applications in synthetic biology. Methods: 1. Bioinformatics' tools will be used for bioprospecting of in-house obtained eDNA samples and publicly available NGS data collected from the aquatic environments. 2. Codon-optimized genes encoding Rubisco and its chaperones will be expressed in a range of hosts. 3. New forms of Rubisco and its chaperones will be characterised using biochemical and structural analysis. This project is funded and open for citizens of UK and EU only. The position will start in 2018 as soon as the suitable candidate will be found. For further information if you are interested in applying, contact Dr Maxim Kapralov http://www.ncl.ac.uk/nes/staff/profile/maximkapralov.html by email maxim.kapralov@newcastle.ac.uk In your email include your CV with contact information for two references including your most recent/current supervisor. â euro ƒ Maxim.Kapralov@newcastle.ac.uk ********************GradStudentPositions******************** Bioinformatician We are seeking a motivated and experienced bioinformatician to join the ScanOats Industrial Research Center to perform work in the field of oat genomics. We have recently sequenced and assembled the hexaploid oat genome and now the in-depth analysis can begin. An enthusiastic outlook to scientifically tackling this 12.5Gbp hexaploid genome is absolutely necessary. Your role will involve developing computational approaches that integrate next generation sequence data to address the goals of ScanOats. Our areas of research on oat seed quality include: 1) lipids and lipases, 2) total fibers, 3) antioxidants, 4) proteins, and 5) Fusarium resistance. You will interact with researchers from different backgrounds including biochemistry, plant breeding, biotechnology and bioinformatics, and also with researchers within the other work packages of ScanOats as well as the ScanOats industrial partners Lantmannen, Oatly and Swedish Oat Fiber. For more information https://lu.mynetworkglobal.com/en/what:job/jobID:211909/ PhD student We are seeking a motivated individual with a genuine interest in laying the foundation for their academic career in crop genomics to join the ScanOats Industrial Research Centre. You will begin your PhD in the field of oat genomics by developing computational approaches that integrate NGS data to identify and characterize the genetics associated with oat lipids, lipases, antioxidants, and other factors involved in rancidity during oat storage. You will interact with researchers from different backgrounds including biochemistry, plant breeding, biotechnology and bioinformatics. The work will be conducted in collaboration with researchers within the other subprojects of Scanoats as well as with the ScanOats industrial partners Lantmannen, Oatly and Swedish Oat Fiber. Read more at https://lu.varbi.com/en/what:job/jobID:211714/ Lund University was founded in 1666 and is repeatedly ranked among the world's top 100 universities. The University has 40 000 students and 7 400 staff based in Lund, Helsingborg and Malmo. We are united in our efforts to understand, explain and improve our world and the human condition. LTH forms the Faculty of Engineering at Lund University, with approximately 9 000 students. The research carried out at LTH is of a high international standard and we are continuously developing our teaching methods and adapting our courses to current needs. ScanOats is a newly established industrial research centre in collaboration between the academy and the industry. We conduct basic and applied research on oats and oat-based products. Oat is an important crop both for the Swedish agriculture and for the food chain. ScanOats is unique in the sense that we cover the entire chain from basic research, genome sequencing, cultivar development, field testing, mild processing and fractionation, and clinical health trials. Dennis Eriksson ********************PostDocs******************** Postdoctoral Position: Evolution of Circadian Rhythms in Bacteria Vanderbilt University, Nashville, USA: Laboratory of Dr. Carl Hirschie Johnson The Position: Dr. Johnson is seeking a highly motivated postdoctoral fellow to study the evolution of circadian (daily) clocks in bacteria by experimental and bioinformatics methods, including the use of an innovative experimental evolution approach. Background: The field of circadian clocks received the Nobel Prize in Physiology or Medicine in 2017 for its progress towards understanding the mechanism of circadian oscillators. While these biological clocks display conserved properties from bacteria (especially cyanobacteria) to fungi, plants, insects, and vertebrates (including humans, of course), practically nothing is known about their evolution or about the selective pressure(s) that led to the evolution of these fascinating biological timekeepers. The laboratory of Dr. Johnson led the discoveries of circadian clocks in bacteria, in particular major contributions to the mechanism of the circadian system in cyanobacteria. Moreover, Dr. Johnson's laboratory is the major (and practically the only) laboratory that has provided experimental support for the fitness advantage of circadian clocks (see PMCID: PMC21132; PMID:15324665; and PMCID: PMC3633149). The Project: Inspired by studies from other laboratories of bacterial experimental evolution to relatively simple selective pressures, the Johnson Laboratory has undertaken an experimental evolution approach using E. coli (that does not exhibit circadian phenomena) under a variety of rhythmic environmental regimes to evolve clock-like behavior. This experimental evolution has been conducted for eight years by the technician in the laboratory, and is now exhibiting interesting phenotypes that need a conscientious and motivated postdoctoral fellow to characterize and analyze. The methodology will include genetic/bioinformatic methods (genome sequencing, analysis of adaptive mutations, RNAseq, etc.), physiological/imaging methods (to most fully characterize phenotypes using luminescent and/or fluorescent reporters), proteomic methods (analyzing gene expression patterns), and metabolomic methods (temporal changes in metabolism in response to rhythmic environments). In addition to the experimental evolution project, the candidate will also be involved in analyses of the adaptive significance and mechanism of biological timekeeping in purple bacteria and cyanobacteria (see PMCID: PMC4794148). For an overall introduction to these research questions, see our review in Nature Reviews in Microbiology (PMCID: PMC5696799). The Candidate: The ideal candidate has strong motivation and should ideally be driven by a passion for evolutionary biology. Expertise in genetic technology with bacteria and bioinformatics is a plus. The position requires the ability to independently take responsibility for the project, as well as strong teamwork & communication skills, problem-solving abilities, reliability, and effective time management. Research environment and location: There are excellent facilities and collaborations available within the Vanderbilt University system, including other laboratories that study circadian clocks (e.g., the labs of Doug McMahon, Terry Page, and Beth Malow) and evolutionary biology in microbes (e.g., the labs of Antonis Rokas, Seth Bordenstein, and Ann Tate). Nashville is an exciting city with a low cost of living and many artistic opportunities (especially music) as well as close proximity to nature. For more information about the Johnson Laboratory, see our website: http://www.cas.vanderbilt.edu/johnsonlab/ Interested applicants should contact Dr. Carl Johnson at: carl.h.johnson@vanderbilt.edu. Please send a CV, your research interests, and a list of at least three referees. Selected relevant publications from the Johnson Laboratory: Ishiura, M., S. Kutsuna, S. Aoki, H. Iwasaki, C. R. Andersson, A. Tanabe, S. S. Golden, C. H. Johnson, and T. Kondo. 1998. Expression of a gene cluster kaiABC as a circadian feedback process in cyanobacteria. Science 281: 1519-1523. Ouyang, Y., C.R. Andersson, T. Kondo, S.S. Golden, and C.H. Johnson. 1998. Resonating circadian clocks enhance fitness in cyanobacteria. Proc. Natl. Acad. Sci. USA 95: 8660-8664. Woelfle, M.A., Y. Ouyang, K. Phanvijhitsiri, and C.H. Johnson. 2004. The adaptive value of circadian clocks: An experimental assessment in cyanobacteria. Current Biology 14: 14811486. Mori, T., D.R. Williams, M.O. Byrne, X. Qin, H.S. Mchaourab, M. Egli, P.L. Stewart, and C.H. Johnson. 2007. Elucidating the Ticking of an in vitro Circadian Clockwork. PLoS Biology 5: e93. PMCID: PMC1831719 Johnson, C.H., M. Egli, P.L. Stewart. 2008. Structural Insights into a Circadian Oscillator. Science 322: 697-701. PMCID: PMC2588432 Johnson, C.H., P.L. Stewart, and M. Egli. 2011. The Cyanobacterial Circadian System: from Biophysics to Bioevolution. Annu. Rev. Biophysics 40:143â euro "167. PMCID: PMC3093959 Edgar, R.S., E.W. Green, Y. Zhao, G. van Ooijen, M. Olmedo, X. Qin, Y. Xu, M. Pan, U.K. Valekunja, K.A. Feeney, E.S. Maywood, M.H. Hastings, N.S. Baliga, M. Merrow, A.J. Millar, C.H. Johnson, C.P. Kyriacou, J.S. O'Neill, A.B. Reddy. 2012. Peroxiredoxins are conserved markers of circadian rhythms. Nature 485: 459-64. PMCID: PMC3398137 Ma, P., M.A. Woelfle, and C.H. Johnson. 2013. An Evolutionary Fitness Enhancement Conferred by the Circadian System in Cyanobacteria. Special issue on "Functionality and Dynamics in Biological Systems." Chaos, Solitons & Fractals 50: 65-74. PMCID: PMC3633149 Xu, Y., P. Ma, P. Shah, A. Rokas, Y. Liu, C.H. Johnson. 2013. Non-optimal codon usage is a mechanism to achieve circadian clock conditionality. Nature 495: 116-20. PMCID: PMC3593822 Johnson, C. H., and M. Egli. 2014. Metabolic compensation and circadian resilience in prokaryotic cyanobacteria. Annu. Rev. Biochem. 83: 221-47. PMCID: PMC4259047 Ma, P., T. Mori, C. Zhao, T. Thiel, C.H. Johnson. 2016. Evolution of KaiC-dependent timekeepers: a proto-circadian timing mechanism confers adaptive fitness in the purple bacterium Rhodopseudomonas palustris. PLoS Genetics 12: e1005922. PMCID: PMC4794148 Johnson, C.H., C. Zhao, Y. Xu, and T. Mori. 2017. Timing the day: what makes bacterial clocks tick? Nature Reviews Microbiology 15: 232-242. PMCID: PMC5696799 "carl.h.johnson@Vanderbilt.Edu" ********************PostDocs******************** Postdoctoral Fellow positions with Fisheries and Oceans Canada on fisheries genomics in Halifax, NS, Canada. Positions: Several postdoctoral fellow positions (3-4) are available at Fisheries and Oceans Canada (Halifax, NS) with the Bradbury Lab. Species of primary interest are Atlantic Salmon, Arctic Charr, Atlantic Cod, and Common Lumpfish but current projects include other anadromous fish and species of marine invertebrates as well. The lab's research is broadly concerned with the application of genomic tools to inform marine management and conservation. Candidates must have a PhD in fisheries science, population genetics, genomics, oceanography or a related field. Application: Please email Ian Bradbury (ibradbur@me.com) with (1) a letter describing your interests in this position and your previous research experience, and (2) a recent CV. Formal applications must be submitted through the Postdoctoral Research Program through Fisheries and Oceans Canada. Review of will applications begin right away with several positions available ASAP, and will continue throughout 2018. Ian Bradbury ********************PostDocs******************** The Program for Evolutionary Dynamics at Harvard University welcomes applications for a postdoctoral fellow to work in the field of infectious disease modeling. We are seeking a motivated and creative PhD-level scientist with experience applying mathematics to biological systems. In particular, we are seeking a postdoc to contribute to two major research efforts related to HIV/AIDS. One is an NIH-funded effort to develop mathematical models to predict the outcomes of new, potentially-curative treatment strategies for HIV infection. Another is a Gates Foundation funded project to use dynamic models to understand outcomes of antiretroviral therapy, including the risks of drug resistance, the influence of patient adherence, and the potential impact of new drug delivery mechanisms. We regularly work with data from experimental collaborators testing new therapies in vitro, in animal models, and in patients. The successful candidate would also have the option to pursue independent research of mutual interest. More generally, we are interested in factors influencing the pathogenesis and evolution of infectious diseases, both at the individual and population levels, and in developing methods to infer mechanistic models from biological data. More information about our research can be found at http://www.people.fas.harvard.edu/~alhill/ More information about the position can be found at : https://academicpositions.harvard.edu/postings/7798 Inquiries can be directed to Alison Hill (alhill@fas.harvard.edu) "alhill@fas.harvard.edu" ********************WorkshopsCourses******************** Statistical modelling of time-to-event data using survival analysis: an introduction for animal behaviourists, ecologists and evolutionary biologists (TTED01) https://www.psstatistics.com/course/statistical-modelling-of-time-to-ev ent-data-using-survival-analysis-tted01/ This course will be delivered by Dr Will Hoppitt in Glasgow and will run from the 21st - 25th Jan 2019. Course Overview: Survival analysis is a set of statistical methods initially designed to analyse data giving the times at which individuals die, and assess the effect that different predictor variables have on the rate of death. However, its applications are much broader than this: it can be used to analyse any time-to-event data. Ecologists and evolutionary biologists often encounter data of this kind. Often factors influencing survival itself will be of interest. But there are many other cases, e.g. what factors influence the time of first breeding? Or the time taken to reach maturity? Animal behaviourists too will encounter this type of data frequently, e.g. what factors influence the time it takes to learn a novel behaviour pattern? Or the time to respond to a stimulus? etc. And yet the techniques of survival analysis are not generally well known by researchers in these disciplines. In this course, you will learn how to apply survival analysis models to quantify the effect that predictor variables (continuous or discrete) have on the rate at which events occur, and how to test hypotheses about these effects. We will focus on a flexible modelling technique called the Cox proportional hazards model, which makes minimal assumptions about the underlying probability distributions. You will learn how to fit and interpret these models, how to evaluate its assumptions, and how to extend it to model time dependent variables, random effects, multistate models and competing risks models. Monday 21st - Classes from 09:30 to 17:30 Module 1: Statistical modelling of rates and times Module 2: Parametric survival models and the Cox model Tuesday 22nd - Classes from 09:30 to 17:30 Module 3: Fitting Cox models Module 4: Interpreting Cox Models Wednesday 23rd - Classes from 09:30 to 17:30 Module 5: Evaluating the proportional hazard assumption Module 6: Stratified Cox models Thursday 24th - Classes from 09:30 to 17:30 Module 7: Time dependent variables Module 8: Frailty Models and Multistate models Friday 25th - Classes from 09:30 to 17:30 Module 9: Competing risks models Module 10: Open session Email oliverhooker@psstatistics.com Check out our sister sites, www.PRstatistics.com (Ecology and Life Sciences) www.PRinformatics.com (Bioinformatics and data science) www.PSstatsistics.com (Behaviour and cognition) 1. June 12^th - 15^th 2018 SPECIES DISTRIBUTION MODELLING (DBMR01) Myuna Bay sport and recreation, Australia, Prof. Jane Elith, Dr. Gurutzeta Guillera www.prstatistics.com/course/species-distribution-models-using-r-sdmr01/ 2. June 25^th - 29^th 2018 SPECIES DISTRIBUTION/OCCUPANCY MODELLING USING R (OCCU01) Glasgow, Scotland, Dr. Darryl McKenzie (PROTEUS) www.prstatistics.com/course/species-distributionoccupancy-modelling-usi ng-r-occu01/ 3. July 2^nd - 5^th 2018 SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R (SNAR01) Glasgow, Scotland, Prof. James Curley http://www.psstatistics.com/course/social-network-analysis-for-behavior al-scientists-snar01/ 4. July 8^th - 12^th 2018 MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R (MBMV02) Glasgow, Scotland, Prof. David Warton www.prstatistics.com/course/model-base-multivariate-analysis-of-abundan ce-data-using-r-mbmv02/ 5. July 23^rd - 27^th 2018 EUKARYOTIC METABARCODING (EUKB01) Glasgow, Scotland, Dr. Owen Wangensteen http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/ 6. September 24^th - 28^th INTRODUCTION TO MIXED (HIERARCHICAL) MODELS FOR LIFE SCIENCES USING R (IMLS01) Glasgow, Scotland, Prof. Subhash Lele https://www.psstatistics.com/course/introduction-to-mixed-hierarchical- models-for-life-sciences-using-r-imls01/ 7. October 1^st - 5^th INTRODUCTION TO LINUX WORKFLOWS FOR BIOLOGISTS (IBUL03) Glasgow, Scotland, Dr. Martin Jones https://www.prinformatics.com/course/introduction-to-linux-workflows-fo r-biologists-ibul03/ 8. October 8^th - 12^th 2018 INTRODUCTION TO SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R (ISAE01) Glasgow, Scotland, Prof. Subhash Lele https://www.prstatistics.com/course/introduction-to-spatial-analysis-of -ecological-data-using-r-isae01/ 9. October 8^th - 12^th 2018 INDIVIDUAL BASED MODELS USING NETLOGO AND R Glasgow, Scotland, Dr. Andrew Jackson Link to follow 10. October 15^th - 19^th 2018 APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME Glasgow, Scotland, Dr. Matt Denwood, Emma Howard http://www.prstatistics.com/course/applied-bayesian-modelling-ecologist s-epidemiologists-abme04/ 11. October 29^th - November 2^nd 2018 INTRODCUTION TO R AND STATISTICS FOR BIOLOGISTS (IRFB02) Glasgow, Scotland, Dr. Olivier Gauthier Link to follow - see previous https://www.prstatistics.com/course/introduction-to-statistics-and-r-fo r-biologists-irfb01/ 12. October 29^th - November 2^nd 2018 INTRODUCTION TO BIOINFORMATICS FOR DNA AND RNA SEQUENCE ANALYSIS (IBDR01) Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw -genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/ 13. November 5^th - 8^th 2018 PHYLOGENETIC COMPARATIVE METHODS FOR STUDYING DIVERSIFICATION AND PHENOTYPIC EVOLUTION (PCME01) Glasgow, Scotland, Dr. Antigoni Kaliontzopoulou https://www.prstatistics.com/course/phylogenetic-comparative-methods-fo r-studying-diversification-and-phenotypic-evolution-pcme01/ 14. November 19^th - 23^rd 2018 STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (SEMR02) Glasgow, Scotland, Dr. Jonathan Lefcheck Link to follow - see previous https://www.prstatistics.com/course/structural-equation-modelling-for-e cologists-and-evolutionary-biologists-semr01/ 15. November 26^th - 30^th 2018 FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION (FEER Glasgow, Scotland, Dr. Francesco de Bello, Dr. Lars Gotzenberger, Dr. Carlos Carmona http://www.prstatistics.com/course/functional-ecology-from-organism-to- ecosystem-theory-and-computation-feer01/ 16. January 21^st - 25^th 2019 STATISTICAL MODELLING OF TIME-TO-EVENT DATA USING SURVIVAL ANALYSIS: AN INTRODUCTION FOR ANIMAL BEHAVIOURISTS, ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (TTED01) Glasgow, Scotland, Dr. Will Hoppitt https://www.psstatistics.com/course/statistical-modelling-of-time-to-ev ent-data-using-survival-analysis-tted01/ 17. 28^th January - 1^st February 2019 AQUATIC ACOUSTIC TELEMETRY DATA ANALYSIS AND SURVEY DESIGN Glasgow, Scotland, VEMCO staff and affiliates https://www.prstatistics.com/course/aquatic-acoustic-telemetry-data-ana lysis-atda01/ 18. 4^th - 8^th February 2018 DESIGNING RELIABLE AND EFFICIENT EXPERIMENTS FOR SOCIAL SCIENCES (DRES01) Glasgow, Scotland, Dr. Daniel Lakens https://www.psstatistics.com/course/designing-reliable-and-effecient-ex periments-for-social-sciences-dres01/ 19. 25^th February - 1^st March 2019 MOVEMENT ECOLOGY (MOVE02) Margam Discovery Centre, Wales, Dr. Luca Borger, Prof. Ronny Wilson, Dr Jonathan Potts https://www.prstatistics.com/course/movement-ecology-move02/ 20. March 25^th - 29^th 2019 LANDSCAPE GENETIC/GENOMIC DATA ANALYSIS USING R (LNDG03) Glasgow, Scotland, Prof. Rodney Dyer http://www.prstatistics.com/course/landscape-genetic-data-analysis-usin g-r-lndg03 PSstatistics.com facebook.com/PSstatistics/ twitter.com/PSstatistics 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340 Oliver Hooker