Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- DAAD
- Forschungszentrum Jülich
- Nature Careers
- Leibniz
- Max Planck Institute for Biogeochemistry, Jena
- University of Bremen •
- University of Göttingen •
- Carl von Ossietzky University of Oldenburg •
- Dresden University of Technology •
- Fraunhofer-Gesellschaft
- Hannover Medical School •
- Helmholtz-Zentrum Geesthacht
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Meteorology •
- Max Planck Institute of Molecular Plant Physiology •
- Ulm University •
- University of Münster •
- University of Tübingen
- 11 more »
- « less
-
Field
-
knowledge of energy system modelling or climate modelling Good knowledge of deep learning, PDEs or mathematical/numerical optimization methods Enthusiasm for challenging problems and interdisciplinary
-
) software for topology-informed biomedical image analysis and large foundation models. You will be responsible for Develop new machine learning algorithms for microscopy image analysis problems (2D/3D/4D/5D
-
highly motivated doctoral student to join an ambitious project aimed at building machine and deep learning models to study the genetics of human disease. Funded as part of the Helmholtz AI program, the
-
theories and numerical methods, carrying out and analysing field and remote sensing observations and conducting and analysing numerical model simulations. The PhD position is funded by the German Research
-
Specifications. The PhD topic consists of two parts, the weighting of which can be adjusted. First, natural frequencies of different UAV categories for different power settings shall be modelled. Second, based
-
frequencies of different UAV categories for different power settings shall be modelled. Second, based on mesoscale fluid dynamic simulations, microclimatic and turbulence modelling procedures in urban
-
an active student scene and a diverse cultural life. We are looking to fill a PhD position (m/f/d) - Improving understanding of seasonal and interannual carbon and water fluxes using process-based modelling
-
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
-
of Munich, Cologne and Hanover as well as the German Weather Service in Offenbach and Lindenberg. The partners combine leading expertise in modeling and observing clouds and their radiative properties with
-
27.03.2025, Wissenschaftliches Personal The Chair of Renewable and Sustainable Energy Systems (ENS) at the Technical University of Munich (TUM) deals with the modeling and optimization of energy