Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- DAAD
- Free University of Berlin
- Technical University of Munich
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Leibniz
- Max Planck Institute for Demographic Research (MPIDR)
- Academic Europe
- GFZ Helmholtz-Zentrum für Geoforschung
- Heidelberg University
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Karlsruher Institut für Technologie (KIT)
- Max Planck Institute for Demographic Research, Rostock
- Max Planck School of Cognition
- Nature Careers
- TU Dresden
- Technische Universität Dortmund
- University of Bonn •
- 9 more »
- « less
-
Field
-
awarded by the university to which the supervisor of the respective student is affiliated. MPSCog also offers a parallel track, the fully funded Clinician Scientist Program (CSP), targeting medical
-
studies in Germany and, in parallel, from a study in an Ascaris endemic area in Kenya. In summary, the project will analyse the mechanisms of bioactive metabolites from roundworms across species boundaries
-
invasive sensing tools to monitor metabolites, oxygen, carbon dioxide, pH, and other parameters. Ideally, the methods can function in parallel and on a large scale. The research is vital to understand key
-
organizing multiple parallel projects Practical knowledge and hands-on experience in molecular biology laboratory work Leadership skills and proven experience in staff management, combined with strong team
-
using the programming language Fortran. Experience or willingness to run numerical models on parallelized supercomputers. Experience in the analysis of model output using Python or a similar high-level
-
results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
-
and planet formation context Experience in the field with HPC system usage and parallel/distributed computing Knowledge in GPU-based programming would be considered an asset Proven record in publication
-
times through higher parallelization and enable targeted stimulation of hardware faults by adjusting the models. To this end, a simulation environment based on a virtual prototype will be developed using
-
algorithms for application parallelization, simulators and virtual platforms for application- and architecture exploration, hardware/software co-design and operating/runtime systems. Typical application
-
computing, domain-specific multi- and manycore architectures, networks-on-chip (NoCs), methods and algorithms for application parallelization, simulators and virtual platforms for application- and