Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
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
-
Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 3 days ago
provides further opportunities for training and networking. They will be working within a vibrant community of research degree students and researchers at both institutes. The post-holder must have a
-
(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
-
international conferences Mentoring of researchers Your qualifications University degree in sociology, economics, or a closely related field Doctorate / PhD in one of the above-mentioned fields is an advantage
-
and disease risk factors Investigate new approaches in the analysis of large neurophysiological datasets We are seeking a highly motivated candidate with: A strong master’s degree in psychology