POSTDOCTORAL RESEARCH ASSOCIATES ("Wissenschaftlicher Mitarbeiter") We encourage potentially interested candidates to apply for a core project of the Germany-wide GEvol consortium (https://g-evol.uni-muenster.de/) on comparative evolutionary genomics [Job Advert]. The project aims at developing cutting edge methods for accurate functional annotation of novel [1, 2] and de novo expressed genes [3] and other rare genomic elements using machine learning techniques. The project will be based on a combination of bioinformatics methods and further recently developed methods such as Tiberius [1], Galba [2] and BRAKER [3]. Testing and application of the newly to be developed methods shall be done in close collaboration with other members of the GEvol consortium. The project will be supervised in close collaboration between the groups Dr. Katharina Hoff in Greifswald and Prof. Erich Bornberg-Bauer in Münster with primary location to be determined. Interested candidates should have: * strong programming skills * a proven record of having worked on analysing large data sets * hold a PhD in natural sciences, computer science or closely related areas * good communication skills in English language Advantageous skills: * experience analysing biological data sets * experience using machine learning methods * a proven record of original publications in international journals * international experience Applications 2-page format as described [here] and be sent as .pdf to ebb.admin@wwu.de no later than January 6th, 2026. Literature: [1] https://doi.org/10.1101/2025.04.17.649312 [2] https://doi.org/10.1093/bioinformatics/btaf539 [3] https://doi.org/10.1002/jez.b.23297. [4] https://doi.org/10.1093/bioinformatics/btae685 [5] https://doi.org/10.1101/2023.04.10.536199 [6] https://pubmed.ncbi.nlm.nih.gov/37398387/ More GEvol related positions can be found at https://g-evol.uni-muenster.de/open-positions/. Anna Kersting (to subscribe/unsubscribe the EvolDir send mail to golding@mcmaster.ca)