Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Leibniz
- Nature Careers
- Forschungszentrum Jülich
- University of Greifswald
- Free University of Berlin
- Goethe-University Frankfurt
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum Hereon
- Max Planck Institute for Chemical Physics of Solids, Dresden
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
- Max Planck Institute for Physics, Garching
- Max Planck Institute of Molecular Cell Biology and Genetics
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- University of Tuebingen
- Universität Bremen
- Universität Tübingen
- 7 more »
- « less
-
Field
-
willingness to learn: High-performance computing (distributed systems, profiling, performance optimization), Training large AI models (PyTorch/JAX/TensorFlow, parallelization, mixed precision), Data analysis
-
and functional changes in the heart and liver in animal experiments Isolation and analysis of primary liver and heart muscle cells from mice Preparation of tissue sections (liver and heart) using a
-
energy system optimization and control Engineering, Applied Mathematics or a comparable quantitative discipline Very good software development and data analysis skills Inquisitive and passionate about
-
technology. Our pre-studies have shown that full automation is possible in principle when formally verifying systems using reachability analysis. However, our pre-studies also showed that further research is
-
(MUCCnet: atmosphere.ei.tum.de ) Optimization of an urban sensor network configuration for greenhouse gas and air pollutant measurements using mathematical and physical assessments Analysis of ground-based
-
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
-
gross monthly remuneration in pay group TV-E 13 is in the range €4,074 - €5,873, depending on work experience and length of service. In this project, the lower network layers and an associated integrated
-
(ML4Earth). AI methods, and especially machine learning (ML) with deep neural networks have replaced traditional data analysis methods in recent years. The Technical University of Munich (TUM), together
-
. The purpose of the position and goal of the project is to develop and apply bioinformatic tools for the analysis of high-dimensional immunological data sets. Our laboratory (Zielinski lab) focusses on human T