********************GradStudentPositions********************
I would like to advertise two PhD positions in ancient
pathogen genomics funded through my ERC project�EpidemioCene
.
The overall aim of the project is to better understand the
epidemiological history and the determinants of infectious diseases
since the end of the Last Ice Age. To this end, we will undertake
large-scale paleoepidemiological and phylodynamic analyses of ancient
pathogen genomic data generated from large cohorts of ancient human
individuals. The project is co-hosted by the Department of Archaeogenetics
at the Max Planck Institute for Evolutionary Anthropology in Leipzig,
Germany (MPI-EVA)
and the Host-Pathogen Interaction Research Unit, Toulouse, France
(UMR IHAP 1225 UT/INRAE/ENVT). In this context:
- PhD 1 will develop new methods to boost pathogen detection in
ancient metagenomic samples. This will include a machine-learning
algorithm to optimize the identification of pathogen DNA fragments
in shotgun sequencing data and a hybridization capture system
to enrich samples for a wide range of pathogen species. We are
looking for someone with a background in bioinformatics. Some
experience with machine learning or scientific software design
would be advantageous. See the complete description here
.
- PhD 2 will analyse ancient viral genomes using phylogenetic
and phylodynamic approaches to trace geographical spread and
transmission dynamics on large timescales. We are looking for someone
with a background in evolutionary biology, epidemiology or related
topics, and a specific interest in molecular epidemiology and viral
evolution. Bioinformatics skills are required, and some experience with
computational phylogenetics would be a plus. See the complete description
here .
Both positions are aimed at students excited to study the (pre)history
and evolution of pathogens using ancient DNA data, though specific
experience in this regard is not required. Candidates should have
proficient English skills and a strong motivation for teamworking in an
international context. PhD 1 will be based at MPI-EVA, starting ideally
in August 2026. PhD 2 will be based at IHAP, with regular visits to
MPI-EVA, starting ideally in October 2026. German or French skills are
not required.
Interested applicants should send their application via email to
arthur_kocher@eva.mpg.de by May 7th. The application should consist of
a single PDF document containing a cover letter (2 pages max.), a CV,
a proof of your most recent degree and up to two reference letters with
the names and contact information of the referees.
Don't hesitate to contact me at arthur_kocher@eva.mpg.de for further
questions.
Best,
Arthur Kocher
arthur_kocher@eva.mpg.de
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********************GradStudentPositions********************
"Graduate Position: UExeter.MicrobialAMREvolution
PhD-student position in microbial evolution and AMR at the University
of Exeter and the University of Queensland.
The UQ Exeter Institute is seeking exceptional students to join
a world-leading, international research partnership tackling
major challenges facing the global community in sustainability and
wellbeing. Our joint PhD program provides a fantastic opportunity for the
most talented doctoral students to work closely with world class research
groups and benefit from the combined expertise and facilities at The
University of Queensland and the University of Exeter. This prestigious
program provides full tuition fees, stipend, travel and development
funds and Research Training Support Grants to the successful applicants.
This select group of high-calibre doctoral candidates will have the
chance to study in the UK and Australia, and will graduate with a joint
PhD degree from The University of Queensland and the University of
Exeter. The studentship provides funding for up to 42 months (3.5 years).
THE PROJECT
Recent studies have shown that levels of antimicrobial resistance (AMR)
increase at higher environmental temperatures, but we know very little
about the mechanisms causing this correlational pattern. This project
will use experiments, DNA sequencing, and mathematical modelling to
increase our understanding of these mechanisms.
The key objective is to understand how temperature impacts the transfer
rate and maintenance of plasmids in bacterial communities, which is one
of the key ways that AMR spreads. Specifically, plasmid transfer should
occur faster when bacteria have high growth rates and low mortality. As
these microbial traits are temperature dependent, we should be able
to predict plasmid transfer from the temperature response of the donor
and recipient bacteria. Temperature will also change the selection for
AMR. Being a plasmid-carrier can be costly in the absence of antibiotics,
so the project will test how the costs and benefits of resistance
traits change with temperature. If the strength of selection changes
across temperatures, this may alter the rate at which bacteria evolve
to overcome the costs of carrying the plasmids.
This project will take advantage of a library of Escherichia coli
isolates, isolated from cattle, and a collection of plasmids that
the isolates can take up. The plasmids have broad host ranges, high
transfer rates, and have been found in different natural environments,
making them relevant for spreading AMR in the environment. This set
of isolates will be supplemented with several E. coli isolates that
cause infections in humans allowing us to understand the conditions
through which environmental E. coli may spread antibiotic resistance to
pathogenic strains.
Below we suggest three different components of this project, but will
encourage any PhD student to take ownership of the project to align it
to their key interests.
OBJECTIVES
1. Understand how plasmid transfer rate changes across temperatures in
environmental and clinical bacteria.
Plasmid transfer rate is linked to the growth rates of the donor and
recipient bacteria. We predict plasmid transfer across bacteria to be
highest close to their optimal temperatures.
2. Understand how selection for resistance changes across temperatures.We
will quantify the cost of plasmid carriage and the impact of antibiotics
on susceptible bacteria at different temperatures to quantify how the
selection for resistance changes.
3. Understand how plasmid spread and dynamics of bacteria change across
temperatures in natural communities. We will use a range of methods
(metagenomic sequencing, phenotypic assays, flow cytometry, qPCR) to
measure how temperature affects plasmid carriage in simple and diverse
communities.
This interdisciplinary project will combine experiments, sequencing, and
mathematical modelling to build and validate a mechanistic model linking
temperature-dependent traits to AMR spread. Ultimately, these findings
could inform mitigation strategies for AMR by informing risk prediction
by identifying temperatures at which control measures targeting plasmids
might be most effective and key antibiotics whose selection for resistance
changes drastically across strains or temperatures.
Key references:
[1] https://doi.org/10.1098/rspb.2019.1110
[2] https://doi.org/10.64898/2025.12.03.692229
[3] https://doi.org/10.1128/msystems.00228-21
CONTACT
Questions about this project should be directed to Dr Daniel Padfield
at D.Padfield@exeter.ac.uk
You can find more information about the project and how to apply here:
https://www.exeter.ac.uk/study/funding/award/?id=5844
Many thanks
Dan
Dr Daniel Padfield (he/him)
NERC Independent Research Fellow
Environment and Sustainability Institute
University of Exeter
Tremough Campus
Penryn
Cornwall
TR10 9EZ
Github: https://github.com/padpadpadpad
Lab website: https://padpadpadpad.netlify.app/
Bluesky: https://bsky.app/profile/padpadpadpad.bsky.social
Please note: I work flexibly to manage work and caring
responsibilities. Therefore I may send or respond to e-mails outside
of normal working hours. Ido not expect a response outside of your own
working pattern.
"Padfield, Daniel"
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********************Jobs********************
The McBride Lab at Princeton University (http://mcbridelab.princeton.edu)
is looking for a lab technician to support research on mosquito behavior,
genetics, and evolution starting in mid/late summer 2026. The technician
will devote ~70% of their time to helping with research and the remaining
~30% time to general maintenance and lab support. The technician will be
welcomed as a full lab member, attending journal clubs and lab meetings
and contributing to a dynamic and interactive lab atmosphere. This is
an opportunity to become deeply involved in exciting research at the
interface of evolution, genetics, and neuroscience and is well-suited
for a recent college graduate looking for more experience/focus before
graduate school.
Research project activities may include:
- Mosquito breeding and behavioral experiments
- Generation of transgenic strains using CRISPR/Cas9
- Molecular biology studies including DNA/RNA extraction, PCR, cloning
Essential Qualifications:
The interested candidate should have a bachelor's degree in biology or
related field and previous experience in a research laboratory (beyond lab
classes). Previous experience rearing insects, studying behavior, and/or
carrying out molecular biology protocols in a research setting is strongly
preferred. A demonstrated interest in evolution, neuroscience, genomics
and/or behavior is also preferred. It is essential that candidates be
highly organized, detail-oriented, and demonstrate enthusiasm for working
and communicating with others in a collaborative lab setting.
Princeton University is an Equal Opportunity Employer and all qualified
applicants will receive consideration for employment without regard to
age, race, color, religion, sex, sexual orientation, gender identity or
expression, national origin, disability status, protected veteran status,
or any other characteristic protected by law.
Contact Lindy McBride at csm7@princeton.edu
with questions/resume or directly apply here
.
Lindy McBride
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********************Jobs********************
The Department of Mathematics at the University of Sussex is inviting
applications for a fixed-term research position on ecological modelling
of tick-borne pathogens to better understand their distribution and
prevalence along urbanisation and environmental gradients.
In this role, you will develop mathematical models to evaluate the
roles of multiple mechanisms in structuring ecological metacommunities
composed of ticks, their hosts and associated pathogens. Working closely
with project partners, you will integrate process-based metapopulation
models into network models to identify key environmental and social
determinants of the risk of human infection, and suggest critical points
for management actions.
The role includes research collaboration with the University of Bath (UK)
and a US team coordinated by researchers at Columbia University. While
this post has the fixed duration of 24 months, there will be an
opportunity to apply for a continuation of this position to be based at
the University of Bath (UK) for an additional 24 months of the project.
Apply here:
https://www.jobs.ac.uk/job/DQZ005/research-fellow-in-mathematics
*About you*
We are seeking a candidate with a strong background in mathematical
biology, ecological and/or epidemiological modelling, or applied
dynamical systems.
Prospective candidates should hold a PhD in Mathematics or be in the final
stages of writing up their PhD thesis and have submitted by the start date
of the position. Equivalent research experience will also be considered.
You should have familiarity with handling large and complex datasets,
and be skilled in programming languages such as Python, Matlab or R.
The ideal candidate will be capable of independent research as
well as effective teamwork, with excellent communication skills for
interdisciplinary engagement with colleagues and external collaborators. A
strong interest in interdisciplinary research and applying mathematical
techniques to ecological data and environmental challenges is highly
desirable.
*Further Key Information*
Please contact Prof Konstantin Blyuss (k.blyuss@sussex.ac.uk) for
informal enquiries.
Candidates should include in their application the following:
- Academic CV
- A personal statement (500 words maximum) outlining their research
interests and their research experience to date
- Official academic transcripts
- Contact details for two suitable referees
- Application form
For full details and how to apply see our vacancies page
.
*Eligibility*
This role has been assigned an eligible SOC code and meets the salary
requirements for Skilled Worker Sponsorship if full time and appointed
at Grade 7.4.
Please consult our Skilled Worker Visa information page
for further information about Visa Sponsorship.
This role may also be eligible for the Global Talent visa route, depending
on the individual circumstances of the successful candidate.
Please note that this position may be subject to ATAS clearance
if
you require visa sponsorship.
The University requires that work undertaken for the University is
performed in the UK.
Sophia Bulzoni
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********************Other********************
Royal Society Publishing has recently published a theme issue of
Philosophical Transactions B under the 'Subscribe to Open' 2026
initiative: Evolutionary genetics of mitochondria: on diverse and common
evolutionary constraints across eukarya compiled and edited by Venkatesh
Nagarajan-Radha, Duur K Aanen, Madeleine Beekman and Dan Mishmar and
the articles are FREE to access at www.bit.ly/PTB1947
A print version is also available at the special price of �40.00 per issue
fromsales@royalsociety.org
Felicity Davie
Royal Society Publishing
T +44 20 7451 2647
The Royal Society
6-9 Carlton House Terrace
London SW1Y 5AG
http://royalsocietypublishing.org
Registered Charity No 207043
Felicity Davie
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********************PostDocs********************
Postdoc Position in Evolutionary and Developmental Genetics
A postdoc position is available in the Hopkins Lab at the University of
Florida. The successful candidate will use computational and experimental
approaches to study the evolution of organs and cell types.
Our research seeks to understand the genetic mechanisms and evolutionary
pathways through which organs originate and diversify through
time. We take a comparative approach, using patterns of evolutionary
diversification across species to uncover general principles of biological
design that shape organ architecture, function, and evolution. Much of our
work focuses on Drosophila, moving beyond melanogaster as a model organism
to develop the wider Drosophilidae family and its >4000 morphologically,
ecologically, and behaviourally diverse species as a model clade. In
pursuit of this work, we make use of a wide range of computational and
experimental approaches, including gene regulatory network inference,
comparative genomics, genome editing, and single-cell 'omics. Over time,
postdocs will be provided with support to develop an independent research
program that aligns with the lab's broad interests in evolutionary and
developmental genetics.
The Hopkins Lab is based in the University of Florida's Genetics
Institute, a cross-departmental institute that brings together a wide
variety of researchers with interests in genetics. Our corridor is
home to groups working on evolutionary biology, comparative genomics,
developmental biology, and functional genetics in both model and non-model
animal systems, opening up rich opportunities for interactions and
collaboration with like-minded researchers. Our building also houses
UF's biotechnology core, complete with state-of-the art imaging suites
and sequencing facilities. Gainesville itself is a vibrant college town
with a lively nightlife and live music scene, and offers easy access to
Florida's diverse natural landscapes from crystal-clear springs and
pine forests to wetlands and the white sandy beaches of the coast.
Start date is flexible.
If interested, please contact Ben Hopkins (br.hopkins@ufl.edu) with a
CV, a statement of research interests and experience, and the names of
three references.
"Hopkins, Ben"
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********************WorkshopsCourses********************
Apply Machine Learning to Your Ecological Time Series Analysis with
Machine Learning for Ecological Time Series (METR01) Take your ecological
modelling to the next level by mastering modern machine learning
techniques applied to time series data - one of the fastest-growing and
most impactful areas in ecological research. This advanced, hands-on
course is designed for ecologists, researchers, and practitioners who
want to extract deeper insights, improve predictive performance, and
handle complex temporal patterns in ecological datasets.
What you'll learn
Core machine learning approaches for ecological time series Handling
temporal autocorrelation and non-stationarity Building and tuning
predictive models in REvaluating model performance and avoiding
overfitting Applying methods to real-world ecological datasets Expect
a highly practical format combining theory, real datasets, and guided
coding exercises - consistent with PR Stats' applied training approach.
Who should attend?
Ecologists and environmental scientists PhD students and academic
researchers Data analysts working with temporal or monitoring data Anyone
looking to apply machine learning to ecological problems
Why take this course?
Ecological time series are central to understanding biodiversity change,
climate impacts, and ecosystem dynamics. Machine learning offers powerful
tools - but only when applied correctly. This course will help you move
beyond basic analysis to build robust, interpretable, and high-performing
models you can confidently use in research and decision-making.
Learn more & enrol
Explore the full course details here:
PR Statscourse page for Machine
Learning for Ecological Time Series (METR01)
Questions?
Email:oliver@prstats.org
Oliver Hooker PhD.
PR stats
Oliver Hooker
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********************WorkshopsCourses********************
Dear all,
We would like to inform you that only a few seats remain for the upcoming
online course DNA Methylation in Ecology and Evolution, taking place
from 20-24 April.
Course website: (
https://www.physalia-courses.org/courses-workshops/dnamethylation/ )
This five-day course will provide both theoretical background and hands-on
training in the analysis of DNA methylation data, covering short-read
(Illumina WGBS/EM-seq) and long-read (Oxford Nanopore and PacBio)
approaches. Participants will work through the full workflow, from data
processing to the identification and interpretation of differentially
methylated regions, with a focus on applications in ecology and evolution,
including non-model organisms.
Sessions will run daily from 14:00 to 19:00 (Berlin time) and include
lectures, guided practicals, and interactive discussions.
For the full list of our courses and workshops, please visit: (
https://www.physalia-courses.org/courses-workshops )
If you are interested in joining, we encourage you to register soon,
as places are limited.
Best regards, Carlo
Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
info@physalia-courses.org
mobile: +49 17645230846
( https://www.linkedin.com/in/physalia-courses-a64418127/ )
"info@physalia-courses.org"
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********************WorkshopsCourses********************
Dear colleagues,
If you are an evolutionary biologist and a Python novice, you might be
interested in the course "Introduction to Python for Biology", offered
by Transmitting Science.
Course webpage:
https://www.transmittingscience.com/courses/statistics-and-bioinformatics/introduction-to-python-for-biology/
The aim of this course is to introduce participants to Python
programming for biological data analysis, including focusing on basic
syntax, data handling and reproducible workflows.
During the course, we will work on datasets and questions from the
fields of evolutionary biology and ecology.
After completing this course, participants will be able to apply Python
programming automation to their own research problems and should be
equipped to continue their own Python learning. By the end of the
course, participants will be able to:
* Understand basic Python syntax and programming concepts.
* Manipulate and analyse biological datasets using Python.
* Develop reproducible analysis workflows.
For any questions, please write to courses@transmittingscience.com
Best regards,
Haris
Haris Saslis, PhD
Course Coordinator
Transmitting Science
www.transmittingscience.com [1]
Links:
[1] http://www.transmittingscience.com
Haris Saslis - Transmitting Science
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********************WorkshopsCourses********************
The Computational Biology Core at the University of Connecticut is hosting
virtual bioinformatics workshops this year! We still have space available
in our Genome Annotation Workshop (virtual but live instruction - May
19-21). This hands-on workshop will cover genome assembly validation,
annotation using tools such as Helixer, BRAKER, and EASEL, and evaluation
of annotation results. Participants will gain practical experience with
real datasets and learn how to generate high-quality genome annotations.
Learn more & register here: https://bioinformatics.uconn.edu/cbc-workshops/
WHERE: Virtual (MS Teams)
WHEN: 10:00 AM - 2:00 PM EST
COST: $500 (UConn affiliates); $600 (External participants)
Registration is first come, first served.
Questions? E-mail cbcsupport@helpspotmail.com
zsc25001@uconn.edu
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********************Conferences********************
Dear colleagues,
We would like to invite you to the next online seminar for the "Internal
Conflicts and Organismal Adaptation" Special Topic Network (STN) funded by
the European Society for Evolutionary Biology, which will take place on
April 15, 10:00 UTC. Our speakers for this seminar are:
Alejandro Burga: (Institute of Molecular Biotechnology Austria). Short
RNAs, long memories: when genome defence becomes gene regulation.
Patrick Kennedy (University of Bristol): Brinkmanship in intragenomic
conflict.
We expect the meeting to take approximately 1.5 hours.
Meeting details:
Date: April 15, 2026.
Time: 10:00 UTC.
Meeting link: https://georgetown.zoom.us/j/97210197821?jst=2
If you would like to get on our mailing list and take
part in our upcoming events, please visit our website (
https://internalconflictsstn.wordpress.com/) for more information.
Sincerely,
The Internal Conflicts and Organismal Adaptation STN Martijn Schenkel,
Arvid Ågren, Manus Patten, Nina Wedell, and Thomas Hitchcock
ESEB-funded Special Topic Network "Internal Conflicts and Organismal
Adaptation"
https://internalconflictsstn.wordpress.com/
https://eseb.org/prizes-funding/special-topic-networks/
Internal Conflicts STN
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********************Conferences********************
We invite abstract submissions for talks and/or posters to the Evolution
and Comparative Genomics (EvolCompGen) track at ISMB on July 12-16 in
Washington DC. Describe your recent work on 1-2 pages and submit before
the deadline on Friday April 9 (midnight anywhere on earth)!
Abstract submission site:
https://www.iscb.org/ismb2026/call-for-submissions/abstracts
More about the meeting: Intelligent Systems in Molecular Biology (ISMB)
is the flagship conference of the International Society of Computational
Biology. In 2026, the meeting will be held July 12-16 in Washinton DC.
Conference web site: https://www.iscb.org/ismb2026/home
More about EvolCompGen: The EvolCompGen "community of special interest"
(COSI) organizes a track at ISMB each year on topics at the interface
between evolution, comparative genomics, and computational biology. Our
sessions have high attendance and showcase contributions in genome
evolution; genome rearrangements; genomic variation, diversity, and
dynamics; the evolution of protein structure and function; cancer
evolution and phylogenetics; population genomics; mutational models;
phylogenetics and the comparative method; phylogenomics; phylodynamics;
pangenomics and microbial evolution; and metagenomics.
EvolCompGen: https://evolcompgen.org/
Sincerely,
Dannie Durand and Lars Arvestad
Track chairs
Links:
EvolCompGen: evolcompgen.org
Abstract submission:
https://www.iscb.org/ismb2026/call-for-submissions/abstracts
ISMB conference web site: https://www.iscb.org/ismb2026/home
Lars Arvestad
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********************Conferences********************
SORTEE Conference 2026: Save the Date!
Dear Colleague,The sixth annual SORTEE conference (The Society/for Open,
Reliable, and Transparent Ecology and Evolutionary Biology) will be
held virtually in October 2026. The conference will run continuously
from October 13th to October 14th.
Dear Colleague,
The sixth annual SORTEE conference (The Society/for Open, Reliable, and
Transparent Ecology and Evolutionary Biology) will be held virtually in
October 2026. The conference will run continuously from October 13th to
October 14th, to cover all time zones.
The conference is a forum to discuss and develop ideas, while also
exploring current practices for advancing research in fields related to
ecology and evolutionary biology.
The conference will be a mix of 5 session types:
Unconferences: Facilitated discussions of ideas for how to make ecology,
evolutionary biology, and related disciplines more open, reliable,
and transparent.
Hackathons: Group projects with well-defined goals (papers, techniques,
software, protocols, organizations, etc.).
Workshops: Facilitators will teach tools to implement open, reliable,
and transparent practices.
Plenaries: Two plenaries about recent initiatives in open
science.Introductions to open science: Two sessions dedicated to people
new to open science.
To have an idea of what a SORTEE conference looks like, check the 2025
SORTEE conference program here and the summary of previous conferences
at https://www.sortee.org/past.
Content submissions will soon open on this page
To have a great conference, we need motivating events and keen
facilitators! We invite anyone interested in facilitating an unconference,
a hackathon or a workshop to submit their content. You don't have to be
a SORTEE member.
The conference will be FREE for SORTEE members, and range from 0$ to 60$
for non-SORTEE members. Become a member!
We are trying our best to make this conference as inclusive as
possible. We encourage individuals with questions regarding accessibility
when facilitating a session or attending the conference to reach out to
us at conference@sortee.org.
We hope to see you in October.
Sincerely,
The SORTEE Conference Committee
2355 State St Ste 101
Salem, OR 97301-4541, USA
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are uncomfortable sharing that information with us, please feel free to
unsubscribe from this list. We value transparency on everything we do,
and unfortunately there is no way to opt-out of this system.
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