Sort by
Refine Your Search
-
Listed
-
Employer
- Forschungszentrum Jülich
- DAAD
- Leibniz
- Technical University of Munich
- Nature Careers
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- GFZ Helmholtz-Zentrum für Geoforschung
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich
- Max Planck Institute for Chemical Ecology, Jena
- Max Planck Institute for Sustainable Materials •
- University of Münster •
- 1 more »
- « less
-
Field
-
physics, microbial ecology, plant nutrition, plant physiology, plant ecology, biochemistry, and/or bioinformatics Strong interest in using process-based mathematical modeling to simulate biogeochemical
-
science, physics, computational science or similar, with experience in modeling and simulation Strong understanding of the (computational) mechanics of solids and the finite element method and/or spectral
-
link structure-property relationships from DFT, MD, phase-field, TEM/SEM, and other multimodal datasets from simulation and experiment Develop benchmarking protocols and toolkits to evaluate AI models
-
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
-
the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy Materials and Devices – Structure and Function of Materials (IMD-1) to establish a data-driven
-
, crystallization, or molecular aggregation/switching. The BEAM projects cover a wide spread of topics, including theoretical physics and chemistry work. For example, our targeted syntheses are supported by models
-
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 3 months ago
being operated from various platforms and under environmental conditions out of the operator’s control. Therefore, new specific data processing and management procedures need to be developed. Within
-
to facilitate a rapid and efficient exchange among experimental and computational groups and Devise an approach in invertible predictive modelling that links semiconductor properties to the composition of lead
-
. The BEAM projects cover a wide spread of topics, including theoretical physics and chemistry work. For example, our targeted syntheses are supported by models of self-assembly for specific types of molecules
-
mechanisms occurring in these materials and their synthesis over all relevant length scales (e.g., cutting-edge ab initio methods, atomistic simulation methods, multi-scale modelling, machine learning) High