Sort by
Refine Your Search
-
Employer
- Technical University of Munich
- Leibniz
- DAAD
- Dresden University of Technology •
- Forschungszentrum Jülich
- Hannover Medical School •
- Julius-Maximilians-Universität Würzburg •
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Mathematics •
- Max Planck Institute of Biochemistry •
- Nature Careers
- WIAS Berlin
- 2 more »
- « less
-
Field
-
optimization or discrete algorithms. Profound mathematical modeling and programming skills. Experience with the design and analysis of graph algorithms or multiobjective optimization models is a plus. Very good
-
The Weierstrass Institute for Applied Analysis and Stochastics (WIAS) is an institute of the Forschungsverbund Berlin e.V. (FVB). The FVB comprises seven non-university research institutes in Berlin
-
Description The Weierstrass Institute for Applied Analysis and Stochastics (WIAS) is an institute of the Forschungsverbund Berlin e.V. (FVB). The FVB comprises seven non-university research
-
WIAS Berlin, Weierstrass Institute for Applied Analysis and Stochastics Position ID: 2306 -PHD [#26752, 25/11] Position Title: Position Location: Berlin, Berlin 10117, Germany [map ] Appl Deadline
-
(Hamenstaedt), Complex Algebraic Geometry (Huybrechts), Global Analysis (Mueller), Topology (Barthel, Bottman, Ozornova, Schwede), Geometric Topology (Avramidi, Stadler), Representation Theory (Stroppel) and
-
framework to enable meta-analysis of multiple large biobank datasets, all of this with the aim of increasing our sensitivity to unravel the complex genetic causes of disease and, in so doing, identify new
-
the aim of taking the complex spatial structure of clouds into account in climate models and global remote sensing. The position thus offers highly relevant and interesting opportunities for work and
-
its rich information content, conventional analysis methods have not yet fully realized its potential. This research project aims to develop a robust AI foundation model based on modern Transformer
-
to gain insights into complex systems and inform decision-making Design and evaluate scenarios that focus on energy systems and structural change, assessing their potential impact Develop and evaluate
-
, medical informatics, databases, data mining, machine learning, applied mathematics, biomedical modelling and analysis of complex networks. Joint data science projects between the different partners