Postdoctoral position in variable dominance and genomics of adaptation (France) As an assistant professor at the University of Strasbourg and a member of the HaploTeam (https://www.haploteam.org), I am currently seeking a motivated postdoctoral fellow to join our lab and contribute to research on the role of genetic dominance during adaptation to novel environments. The fellow will be appoited for one year with possible renewal for one more year. The position is funded through ANR (Agence Nationale de la Recherche) and is anticipated to start *1 September 2026* (negotiable). Genetic dominance determines how mutations are exposed to natural selection and therefore strongly influences evolutionary dynamics. While traditionally treated as a fixed parameter in population genetics models, growing empirical evidence suggests that dominance can vary across genetic backgrounds and environments, with important consequences for adaptation and the maintenance of genetic variation. To shed light on the role of variable dominance in contributing to the maintenance of adaptive variation, the project will combine empirical and theoretical approaches and leverage genomic and transcriptomic data from natural and experimental populations of Saccharomyces cerevisiae. Depending on the scientific interests of the postdoctoral fellow, she/he will analyse growth phenotypes and RNA sequencing data from controlled crosses, and model the evolution of dominance modifiers using computational tools as well as implement machine learning techniques to infer genomic regions under selection and variable dominance from empirical datasets. The postdoc will also be encouraged to develop independent research directions within the scope of the project. Required qualifications - PhD (obtained or near completion) in evolutionary biology, population genetics, genomics, bioinformatics, or a related field - Excellent written and spoken English - Ability to work both independently and collaboratively in an interdisciplinary research environment Preferred (but not mandatory) qualifications - Background in population genetics and/or evolutionary biology - Wet lab experience (depending on the work to be developed) - Prior experience with genomic and/or transcriptomic data analysis - Proficiency in at least one scripting language (e.g. Python, R, or similar) Environment The position will be based at the IGBMC, University of Strasbourg, France, within a dynamic and international research environment. The institute offers strong expertise in functional genomics, yeast genetics, and bioinformatics, with access to high-performance computing resources and state-of-the-art experimental facilities. The lab has generated large-scale multi-omic datasets from hundreds of natural S. cerevisiae isolates. This project sits at the interface of evolutionary theory, functional genomics, and quantitative genetics, and includes a collaboration with Prof. Claudia Bank (University of Bern), an expert in epistatic interactions and fitness landscapes. The postdoctoral researcher will have ample opportunities to work closely with both experimentalists and theoreticians. Applications Informal inquiries are welcome and can be addressed to Dr. Isabel Alves (itavaresalves@unistra.fr). Applications should include a CV, a brief statement of research interests, and contact information for 2-3 referees. Review of applications will begin in April and continue until June 1, 2026 or until a suitable candidate has been identified. Isabel Alves Assistant Professor (MCF) Institut de Génétique et de BiologieMoléculaire et Cellulaire (IGBMC) IGBMC- CNRS UMR 7104 - Inserm U1258 1 rue Laurent Fries BP 10142 67404 Illkirch CEDEX France itavaresalves@unistra.fr Isabel (to subscribe/unsubscribe the EvolDir send mail to golding@mcmaster.ca)