This workshop is aimed at bringing together ~40 diverse speciation researchers:

- to collaborate on populating a database of published reproductive barriers based on a standardized RIO framework (https://ecoevorxiv.org/repository/view/10083/). This will involve working through papers during the workshop to extract RI measures and other metadata and entering them into a draft database (some preparatory work before the workshop may be requested to facilitate these steps during the workshop)

- to start working towards a manuscript using this database to answer an outstanding question in speciation

- to network, learn about reproductive isolation, and have fun!

If you are interested in applying to participate in the workshop, please fill out the form in the link below by ** May 20th **. Room & board will be covered by the organizers; all other travel costs are the responsibility of the attendee.

Application link:

https://docs.google.com/forms/d/e/1FAIpQLSenAMqSdZjeRmKEDtBNa5tpjPn7IukPyT5BzfZ4JMpIk2YOEw/viewform

The previous IOS workshop was held in Finland in 2023 (see more details at https://speciation-network.pages.ist.ac.at/workshops) and resulted in new interactions between speciation researchers and the successful publication of an Integration of Speciation research manuscript (https://academic.oup.com/evolinnean/article/3/1/kzae001/7609448).

We look forward to seeing you in Glasgow!

The postdoctoral researcher will contribute to this project using
a combination of evolutionary and comparative genomics, as well as a
diverse set of bioinformatic approaches for data analysis and integration
(e.g., transcriptomics, genomics, phenotypic data). This position offers
a unique opportunity to integrate diverse state-of-the-art genomic and
phenotypic datasets across different model organisms to understand the
role of genes, molecular pathways in the origin of complex diseases.

CINV provides a highly collaborative and multidisciplinary environment
using a variety of computational and experimental approaches,
including genetically tractable animal models as well as expertise in
genetics, behavior, glia-neuron communication, metabolism, biophysics,
genomics, bioinformatics, host-microbe communication, and biomolecular
modelling. The new postdoc will be part of one of our labs which focuses
more generally on the intersection between molecular evolution and
disease biology.

Required qualifications are a PhD in evolutionary biology, computational
biology, bioinformatics, or closely related fields. Candidates must have
excellent verbal and written communication skills (working language
is English), as well as an established record of productivity (e.g.,
at least one previous peer-reviewed publication). Candidates with a
past record of publications in bioinfomatics, computational biology,
population genetics or evolutionary genomics are strongly preferred. Ideal
candidates should have experience in analyzing genomic and phenomic
data, performing comparative evolution or population genomic analyses,
as well as in collaborating with experimentalists.

Interested candidates should first contact Evandro Ferrada at
. Please include the following: (1) a cover
letter addressing your interest in the position and how your expertise
meets the position requirements, (2) a CV, (3) contact information of
at least 2 references. A short online interview will follow to discuss
specific proposals. Candidate materials will be reviewed as soon as
possible until the position is filled.

For further information, please visit:
https://cinv.uv.cl/cinv-postdoctoral-fellowship-program-2026/

Dr. Evandro Ferrada
Associate Profesor

Centro Interdisciplinario de Neurociencia (CINV)

Facultad de Ciencias, Universidad de Valpara�so.

Pasaje Harrington 287, Playa Ancha, Valpara�so, Chile.

Tel. +56 (32) 250 8453

www.cinv.cl

We are looking for a highly motivated candidate with a PhD degree in
Bioinformatics or a related field. Candidates are expected to have a
strong background in evolutionary biology and/or comparative functional
genomics. Additional experiences in single cell functional genomics
analyses, statistics and computational data analyses are a plus, as is
an interest in comparative developmental (EvoDevo) questions.

We offer a dynamic and interactive research environment with state-of-the
art research facilities, good research funding and internationally
competitive salaries.

The Tschopp lab (www.evolution.unibas.ch/tschopp/research/)
studies the gene regulatory mechanisms of cell type
specification and evolution in vertebrates. See also our
preprints at https://doi.org/10.1101/2024.03.26.586769 and
https://doi.org/10.1101/2024.11.28.625862 Applications should include
a motivation letter, a CV, a list of publications, a statement about
research interests, as well as the names and contact details of at
least two referees. Applications (in the form of a single .pdf file)
should be sent to Patrick Tschopp (patrick.tschopp@unibas.ch); review
of applications will begin on January 1st 2025, and will continue until
the position is filled.

Patrick Tschopp

Professor/Senior Lecturer of Comparative Genomics
Vacancy Ref: 153610
Salary: Professor, Grade 10 will be within the Professorial range and
subject to negotiation
Senior Lecturer, Grade 9, 57,696 - 64,914 per annum

The School of Biodiversity, One Health and Veterinary Medicine has an
exciting opportunity to appoint a Professor/Senior Lecturer in Comparative
Genomics. You will make a substantial and positive contribution to the
strategic direction of the School/College through leading and contributing
to research of international standard, high quality teaching at both
undergraduate and postgraduate level, securing research funding, and
providing academic leadership and management within the School/College.

Applications are invited from candidates of international standing with
an appropriate record of academic achievement in comparative genomics
and associated omics technologies. We are looking for a candidate who
will complement our existing strengths in clinical veterinary medicine,
evolutionary biology, and animal physiology, with a demonstrable interest
in using domestic mammals among their study systems. We are particularly
interested in applications from candidates with a track record of
studying health related traits and their underlying genomic basis in
companion animals. Traits of specific interest include those related
to metabolism, ageing, and disease (e.g. cancer, autoimmune diseases,
neuromuscular disorders).

The School of Biodiversity, One Health and Veterinary Medicine is home to
researchers studying organismal biology and animal health across a diverse
range of systems, approaches and disciplines with existing strengths
in infectious disease, physiology, ageing, veterinary epidemiology, and
evolution among others. You will be based on the University of Glasgow's
Garscube campus, where the majority of veterinary teaching and research
infrastructure is located. This includes the Small Animal Hospital (a
recent 15M investment) and our Veterinary Diagnostic Services, offering
excellent opportunities for collaborative research at the clinical and
translational interface, especially with respect to companion animals.

We welcome applications from candidates with a Scottish Credit and
Qualification Framework level 12 (PhD) in animal biology, genomics and
health or related discipline with an extensive and established reputation
in research and significant teaching experience within the subject area.

This post is full time and open ended.

Visit our website for further information on The University of
Glasgow's, School of Biodiversity, One Health & Veterinary Medicine,
https://www.gla.ac.uk/schools/bohvm/

Informal Enquiries should be directed to Professor Roman Biek,
Roman.Biek@glasgow.ac.uk

Apply online at:
https://my.corehr.com/pls/uogrecruit/erq_jobspec_version_4.jobspec?p_id=153610

About the person:

Essential criteria:

Hold or be about to obtain* a PhD in Computational biology, Bioinformatics, computing science or related subjects. (*must be obtained within 3 months of the closing date for the post) or MSc equivalent with at least 3 years' work experience in a relevant role.
Significant relevant research experience in genomics or work experience in a relevant technical/scientific role.
Significant experience in managing and analysing NGS data and other big data.
Experience in developing and maintaining analysis pipelines.
Experience working with Linux/UNIX environments.
Proficiency with python, bash, R and/or equivalent languages.
To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information document linked on our website.

More at https://hrwebapp.qub.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open