Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Technical University of Munich
- Forschungszentrum Jülich
- Leibniz
- Nature Careers
- Fraunhofer-Gesellschaft
- Heidelberg University
- Humboldt-Stiftung Foundation
- Ludwig-Maximilians-Universität München •
- University of Göttingen •
- University of Tübingen
- Hannover Medical School •
- Max Planck Institute for Biogeochemistry, Jena
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Demographic Research (MPIDR)
- University of Münster •
- University of Potsdam •
- ;
- Freie Universität Berlin •
- Friedrich Schiller University Jena •
- Helmholtz-Zentrum Dresden-Rossendorf •
- Leipzig University •
- MPINB
- Max Planck Institute for Biogeochemistry •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Meteorology •
- Max Planck Institute for Molecular Genetics •
- Max Planck Institute for Neurobiology of Behavior - caesar, Bonn
- Max Planck Institute for Plant Breeding Research •
- Max Planck Institute for Sustainable Materials •
- Max Planck Institute for the Structure and Dynamics of Matter •
- Max Planck Institute of Molecular Plant Physiology •
- Technische Universität Berlin •
- Ulm University •
- University of Bremen •
- University of Cologne •
- University of Passau •
- University of Stuttgart •
- WIAS Berlin
- 29 more »
- « less
-
Field
-
to understand, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer
-
phenomena such as the spread of misinformation or the formation of filter bubbles. For this, we rely on rigorous probabilistic methods to model and analyse the intrinsic complexities of these systems
-
Degree Doctorate Course location Potsdam In cooperation with The innovative PhD and postdoctoral scholarship programme is offered in conjunction with the Faculty of Digital Engineering, a faculty
-
to uncover new molecular strategies for safeguarding crops. Join a vibrant, interdisciplinary research environment where computational chemistry, biochemistry, molecular biology, and plant science converge
-
, computational model development, data processing, and code implementation in close cooperation with scientists. The position is limited to 3 years. Equal opportunity is an important part of our personnel policy
-
interactions to uncover new molecular strategies for safeguarding crops. Join a vibrant, interdisciplinary research environment where computational chemistry, biochemistry, molecular biology, and plant science
-
scenarios and strategies for its successful implementation. Using existing ICE-2 energy system models, you will address questions such as: How do installation and retrofitting times impact the restructuring
-
phenomena such as the spread of misinformation or the formation of filter bubbles. For this, we rely on rigorous probabilistic methods to model and analyse the intrinsic complexities of these systems
-
the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
-
to the computational complexity of climate models, these will be replaced by physics-informed deep learning surrogates in the aforementioned model coupling. The project will initially focus on one main application