Sort by
Refine Your Search
-
Category
-
Employer
- Technical University of Munich
- Leibniz
- Forschungszentrum Jülich
- Nature Careers
- Free University of Berlin
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Brandenburgische Technische Universität Cottbus
- Friedrich Schiller University Jena
- Heidelberg University
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Leibniz Institute for Neurobiology
- Max Delbrück Center
- Max Planck Institute for Astronomy, Heidelberg
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Demographic Research, Rostock
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
- University of Oldenburg
- 7 more »
- « less
-
Field
-
21 Aug 2025 Job Information Organisation/Company Leibniz Institute for Neurobiology Department Hippocampal Plasticity and Memory Research Field Neurosciences » Neurobiology Biological sciences
-
data synthesis. Their work will determine how urban features drive species diversity, how species diversity and urban features are represented in soundscapes and how these relate to human health and
-
have the right to lodge a complaint with the Rhineland-Palatinate Data Protection Officer. Link to the privacy policy of LIR gGmbH: https://lir-mainz.de/datenschutz
-
The Professorship of Public Policy for the Green Transition (PPGT) focuses on designing and evaluating policies for the green transition worldwide. The group uses a variety of methods from automated data analyses
-
located on the new Heilbronn campus (not in Garching / Munich!) Your tasks Graphs are a fundamental data structure and are commonly used to model relationships between data points such as links between web
-
the healthy mix of companies and startups of all sizes headquartered in the region and is tightly connected to regional research hospitals. The university also forges strong links with companies and scientific
-
, aggregation, linking and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistical and linguistic analysis methods (NLP) as well as machine learning in combination