Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- DAAD
- Nature Careers
- Technical University of Munich
- Leibniz
- Fraunhofer-Gesellschaft
- University of Tübingen
- Free University of Berlin
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- ;
- College for Social Sciences and Humanities
- Heidelberg University
- Kunsthistorisches Institut in Florenz - Max Planck Institute, Berlin, Germany
- Ludwig-Maximilians-Universität München
- Max Planck Institute for Heart and Lung Research, Bad Nauheim
- Max Planck Institute for Astrophysics, Garching
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Max Planck Institute for Evolutionary Anthropology, Leipzig
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- Max Planck Institute for the Study of Societies, Köln
- 11 more »
- « less
-
Field
-
for the position the following: A Ph.D. in the field of Applied Mathematics, Computer Science, Computational Science and Engineering, or similar. Knowledge of numerics as part of a degree program. In particular
-
making this cooperation efficient and productive. As Research Associate you will also support our teaching activities in several Bachelor and Master programs offered by the School of Engineering and Design
-
available in the further tabs (e.g. “Application requirements”). Programme Description The Indo-German Science & Technology Centre (IGSTC), established as a joint initiative of the Department of Science and
-
systems in East Africa, and in the subtropics in Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We conduct
-
available in the further tabs (e.g. “Application requirements”). Programme Description The fellowships are aimed at particularly qualified junior academics and researchers from all areas of historical study
-
Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We conduct experiments in the field to understand how
-
and deep learning Programming experience with Python and Pytorch Strong analytical and problem-solving skills Excellent communication & interdisciplinary skills Fluency in English (written and spoken
-
optimization Understanding of statistical modeling and inverse problems is desirable Experience with programming languages like Python, MATLAB, or C++ Joy in dealing with challenging and interdisciplinary
-
and possibilities to further extend your qualifications through educational programs within the DFG-funded collaborative research center SFB-TRR 179. The position is available from the December 1st 2021
-
and you enjoy working independently. - the research project is national, so speaking and writing German is an advantage. - LCA software and/or python programming experience is an advantage but not a