Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Grade transcripts and BSc/MSc diploma Employment references, if available A second PDF file containing your Master Thesis or relevant research papers (if available) is an optional attachment.
-
papers Contributing to educational events, such as courses and hackathons Your Profile: Excellent Master or preferable subsequent PhD degree in Computer Science, Mathematics, Physics, or similar fields
-
Salary Scale (starting at TV-L E13 2/3). Tasks The successful candidate will conduct cutting-edge empirical research in at least one of the following areas natural resources and environment, climate change
-
positions are funded by the German Research Foundation (DFG) for 3 years, with the possibility of extension. Your profile: • Master's degree in a relevant field such as computer science, optometry, psychology
-
(university diploma or master's degree) in the field of geosciences, engineering or physics. Ideally, you have knowledge of numerical methods and experience with common programming languages (e.g. Matlab
-
of Tübingen. The project is led by Principal Investigators Dr. Marlen Fröhlich, Prof. Dr. Michael Franke (both Tübingen) and Prof. Dr. Manuel Bohn (Lüneburg). The successful candidate will support the project
-
: An excellent Master’s degree or equivalent in one of the above-mentioned disciplines An innovative and feasible doctoral project within one of the three research fields of the RTG Ambivalent Enmity An interest
-
-organ and cross-disease concept of Metabolic Plasticity. As a main measure of “UMG 2032 - Excellence through Focus” we invite five applications as Early Career Researcher (ECR) to establish and lead a
-
at TV-L E13 2/3). Tasks The successful candidate will conduct cutting-edge empirical research in at least one of the following areas: natural resources and environment, climate change and policy
-
The successful candidate will conduct cutting-edge empirical research in at least one of the following areas: Natural resources and environment, Climate change and policy, Digitalisation, AI and smart technologies