Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Technical University of Munich
- Forschungszentrum Jülich
- Leibniz
- Nature Careers
- Fraunhofer-Gesellschaft
- RWTH Aachen University
- University of Tübingen
- Deutsches Elektronen-Synchrotron DESY •
- EBS Universität für Wirtschaft und Recht •
- Frankfurt School of Finance & Management •
- Free University of Berlin
- GFZ Helmholtz Centre for Geosciences
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Justus Liebig University Giessen •
- Leipzig University •
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
- Max Planck Institute for Meteorology •
- Max Planck Institute for Solid State Research •
- Max Planck Institute for Sustainable Materials •
- TU Dresden
- Technische Universität Berlin •
- University of Bremen •
- University of Münster •
- University of Stuttgart •
- University of Tübingen •
- WIAS Berlin
- 19 more »
- « less
-
Field
-
– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
-
measurements in a team of experts on and in the pyramids and creating digital object models with numerical simulations, for example, using Salvus software or similar. Publication of research results and
-
computing to develop a continuous and local alternative to existing gradient-based learning rules, bridging theories of predictive coding with event-based control/ Simulate models of the learning algorithm
-
discipline boundaries and abstraction levels is a must. Knowledge in integrated circuit design, testing and simulation using Cadence is a plus. Knowledge of digital neuromorphic hardware and sensors is a plus
-
Description The NHR Graduate School for HPC Talents 9 Ph.D. scholarships for HPC, Numerical Simulations, and AI/ML projects The NHR Graduate School seeks qualified applicants interested in pursuing
-
-free double perovskites Your Profile: Master`s degree in theoretical or computational physics, chemistry, materials science or similar fields Familiarity with atomistic simulations, high-performance
-
groups to apply. Applications should be sent by e-mail, together with significant documents (Your application should include a cover letter, your CV, a copy/scan of your degree and course transcripts
-
other multimodal datasets from simulation and experiment Develop benchmarking protocols and toolkits to evaluate AI models on materials science tasks as well as integrate your semantic-AI services
-
, disabled candidates will be given preference. Please upload complete application documents (cover letter, curriculum vitae, certificates, list of MSc courses and grades, copy of the master thesis, reference
-
of new EEG and MEG neuroimaging and mc-tCS simulation approaches based on realistic head volume conductor models using modern finite element methods as well as sensitivity analysis. The new methods will be