Sort by
Refine Your Search
-
Listed
-
Employer
- Technical University of Munich
- Nature Careers
- Forschungszentrum Jülich
- Leibniz
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Heidelberg University
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Free University of Berlin
- GFZ Helmholtz-Zentrum für Geoforschung
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Max Planck Institute for Astrophysics, Garching
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Physics, Garching
- University of Hamburg
- University of Oldenburg
- CISPA Helmholtz Center for Information Security
- FUB - Free University of Berlin
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum Hereon
- Karlsruher Institut für Technologie (KIT)
- Kiel University;
- Leibniz Institute for Neurobiology
- Max Delbrueck Center for Molecular Medicine
- Max Delbrück Center
- Max Planck Institute for Demographic Research, Rostock
- Max Planck Institute for Evolutionary Biology, Plön
- Max Planck Institute for Gravitational Physics, Potsdam-Golm
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- Max Planck Institute of Biophysics, Frankfurt am Main
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- Ruhr-Universität Bochum
- Technische Universität Berlin
- University Medical Center Göttingen
- University of Bremen
- University of Greifswald
- University of Tuebingen
- Universität Bremen
- 28 more »
- « less
-
Field
-
scripting language is necessary for prototyping. Interest and affinity for high-performance computing are necessary for the position. You should have experience with the roofline model and familiarity with a
-
of studies, coordination of study implementation, data analysis and interpretation (with a focus on neuroimaging data analysis, usage of AI and/ or computational modeling of psychological processes
-
management. Our group combines empirical work (with experiments in the field and in the lab) and modelling techniques. The focus of this postdoctoral position is the generation of empirical datasets
-
focus on deep networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. The position is in the area of machine learning, with a focus on deep learning
-
communication system are modeled using information theory. We wish to investigate how interleaving can reduce the overhead and computational load due to coding coefficients required in classical linear random
-
(with experiments in the field and in the lab) and modelling techniques. The focus of this postdoctoral position is the generation of empirical datasets for livestock systems in East Africa, and in
-
materials science • Extensive knowledge of computer-based modelling and simulation methods in materials science of metals, e. g. Calphad method, precipitation simulation, cellular automata, kinetic Monte
-
at local, regional, national and European scales across the terrestrial, freshwater and marine realms. For this, a suite of thematic VREs will be developed that allow an easy-to-use application of models