Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Nature Careers
- Leibniz
- Technical University of Munich
- Forschungszentrum Jülich
- Heidelberg University
- University of Tübingen
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- Fraunhofer-Gesellschaft
- Free University of Berlin
- Fritz Haber Institute of the Max Planck Society, Berlin
- Max Planck Institute for Biology Tübingen, Tübingen
- Max Planck Institute for Human Development, Berlin
- Max Planck Institute for Molecular Biomedicine, Münster
- Max Planck Institute for the Study of Crime, Security and Law, Freiburg
- Max Planck Institute of Biochemistry, Martinsried
- 5 more »
- « less
-
Field
-
science) Project management experience and good self-management Interest to work on a collaborative project with international partners and direct links to policymakers Excitement to work in an
-
. Opportunity to work on your own ideas and collaborative projects. E.g., possible open projects in our group include AI for tumor bud detection, or multimodal AI for improved patient care and others. Opportunity
-
management. Our group combines empirical work (with experiments in the field and in the lab) and modelling techniques. The focus of this postdoctoral position is the generation of empirical datasets
-
exchange with industrial and scientific partners during the project, Co-supervision of PhD candidates and Master’s and Bachelor’s students on projects related to 6G-Life, Funding acquisition and management
-
also undesirable outcomes such as stereotyping and other biases. These biases are reduced when people experience cognitive conflicts. In a DFG-funded project, we aim to test whether cognitive conflicts
-
the understanding of the trade-offs between production, mitigation and conservation in livestock-based systems, and to identify innovative mechanisms for landscape-level management. Our group combines empirical work
-
on the Bildungscampus Heilbronn (Heilbronn Education Campus). TUM Campus Heilbronn focuses on the areas of managing digital transformation, family businesses, and computer science. Requirements - Master’s degree in
-
models and neural networks that handle the many challenges of integrating such complex medical data sources on large-scale studies and the translation to clinical practice. Qualifications PhD in (Bio
-
on the preparation of project- or research-related third-party funding applications from national, European and/or international funding programmes. The co-supervision of master, bachelor theses, and PhD students in
-
team with whom you can design the next-level EV? Become part of our Electric Vehicle Lab at the Institute of Automotive Technology and actively shape the future of mobility! About us The Electric Vehicle