46 assistant-professor-computer-science-data Postdoctoral positions at Nature Careers in Germany
Sort by
Refine Your Search
-
, bright individuals with a diploma or master’s degree in bioinformatics, biochemistry, biology, molecular/translational medicine or related subjects and a PhD in life and computer sciences. Previous
-
or equivalent and a PhD (or close to completion) in computer science, math or comparable, or an applied/life science (e. g. engineering, biology, medicine) with a focus on data analysis and/or machine learning
-
Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38,5 h/week) The position is offered as a fixed-term appointment until 30 September 2032, corresponding to the duration of the professorship
-
outstanding postdoctoral researchers in the fields of Physics, Chemistry, Mathematics, Computer Science, Earth Science and the Life Sciences. This collaborative program offers a comprehensive four-year position
-
in developing interfaces to sensor systems or databases Experience with sensor technology and real-time data integration Practical experience in marine environments, ideally supplemented by knowledge
-
basic research. At 84 Max Planck Institutes, more than 26,000 employees conduct basic research in a wide range of fields in the life and natural sciences, as well as in the humanities, social sciences
-
assistant (m/f/d) in the field of microbial ecology, molecular biology, microbiology or comparabel field remuneration group 14 TVöD permanent employment relationship Full-time / suitable for part-time
-
sperm Coordinating laboratory work of a project team REQUIREMENTS: University degree with PhD in biology, biochemistry, pharmacy, chemistry, biomedicine or other life sciences (required) Experienced in
-
BC-Information Theorist (m-w-d)_E Fachbereich Biologie, Chemie, Pharmazie - Institut für Biologie AG Hiesinger Research assistant (Postdoc) (m/f/d) limited to 29.02.2028 (end of project
-
research group “Computational Integrative Biodiversity” (CIB) combines modern computational modeling with biodiversity theory as well as geohistorical and climatological data. We investigate how biodiversity