Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
teaching within the vast disciplines of the biological sciences, from molecular cell biology to ecology and evolutionary biology. Our faculty perform cutting-edge research in a wide array of biological
-
George Washington University | Washington, District of Columbia | United States | about 13 hours ago
bioinformatics and computational approaches to study areas of biomedical sciences that intersect with fundamental processes in biology such as (but not limited to) evolutionary genomics, molecular epidemiology
-
oral microbial communities mediate differences in oral and systemic health using an evolutionary health framework. There will be a specific emphasis on applying advanced bioinformatics and statistical
-
quantitative and statistical modelling approaches to biological systems (including crop genetics, host-pathogen interactions, pathogen population genetics, evolutionary biology...). The candidate will work in
-
8 Mar 2026 Job Information Organisation/Company Faculty of Science, Charles University Research Field Biological sciences Computer science Computer science » Cybernetics Computer
-
32149BR Ecology & Evolutionary Biology Position Overview The Walters Lab (https://walterslab.ku.edu/ ) is seeking a self-motivated, detail-oriented biologist to join our research program
-
of areas, including AI and machine learning, cloud and mobile computing, computer system and information security, evolutionary computation, computer vision and graphics, and bioinformatics
-
Apr 2026 - 21:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
-
, teaching experience in teaching evolutionary psychology, fluency in English (spoken and written) and Polish, enabling classes to be conducted in these languages. Where to apply Website http://www.umk.pl/en
-
cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical