Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Nature Careers
- Technical University of Munich
- Leibniz
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- University of Tübingen
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
-
Field
-
, the informatics department of the University of Kiel, and the remote sensing company EOMAP GmbH & Co. KG. Who are we? The IOW is an independent research institute of the Leibniz Association for which equal
-
recommendations for nature-based climate mitigation and marine biodiversity conservation. SEAGUARD is a joint effort of the IOW, the informatics department of the University of Kiel, and the remote sensing company
-
within a joint research programme. What will be your tasks? The position focuses on the co-design and co-development of a monitoring assessment and policy framework for mitigating changes in marine
-
of the department is to understand the complex mechanisms of human decision making (consume, social or economic). We investigate different strategies that modulate diverse decisions. These strategies and underlying
-
methods, machine learning algorithms, and prototypical systems controlling complex energy systems like buildings, electricity distribution grids and thermal systems for a sustainable future. These systems
-
Do a PostDoc in Pathology AI! 11.10.2023, Wissenschaftliches Personal The Computational Pathology Lab at the Technical University of Munich (TUM), TUM School of Computation, Information and
-
the faculties of medicine and computer science at TUM, as well as the Munich Center for Machine Learning (MCML). It is a great place for interdisciplinary research between medicine and data science. We
-
14.12.2022, Wissenschaftliches Personal The BMBF-funded position is part of the CoMPS project, which is a multidisciplinary project combining the fields of mathematics, computer science, geophysics
-
integration of vehicles into mobility and energy systems. We improve the efficiency, sustainability and economics of electric vehicles by optimizing and accelerating the integration of components up to complex
-
Transferability, as well as Deep Learning for Complex Structures. These novel methods will be applied to practical tasks such as predicting European water storage, quantifying permafrost thawing, sea level budget