Sort by
Refine Your Search
-
Listed
-
Employer
- Nature Careers
- Leibniz
- Free University of Berlin
- Technical University of Munich
- Forschungszentrum Jülich
- Heidelberg University
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Helmholtz-Zentrum Berlin für Materialien und Energie
- Aarhus University
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Fraunhofer-Gesellschaft
- Friedrich Schiller University Jena
- GFZ Helmholtz-Zentrum für Geoforschung
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Helmholtz-Zentrum für Infektionsforschung
- Leibniz Institute for Neurobiology
- Max Planck Institute for Heart and Lung Research, Bad Nauheim
- Max Planck Institute for Astronomy, Arua, Uganda
- Max Planck Institute for Astronomy, Heidelberg
- Max Planck Institute for Brain Research, Frankfurt am Main
- Max Planck Institute for Extraterrestrial Physics, Garching
- Max Planck Institute for Human Development, Berlin
- Max Planck Institute for Molecular Biomedicine, Münster
- Max Planck Institute for Nuclear Physics, Heidelberg
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- Max Planck Institute for Radio Astronomy, Bonn
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Max Planck Institute of Biochemistry, Martinsried
- Max Planck Institute of Biophysics, Frankfurt am Main
- Max Planck Society
- Ruhr University Bochum
- Universitaetsklinikum Erlangen
- WIAS Berlin
- 24 more »
- « less
-
Field
-
genomic approaches Application of the modeling approaches in relevant downstream tasks Co-development of high-performance computing AI training codes for the first European Exascale Supercomputer JUPITER
-
quantitative training or research experience Training and experience in quasi-experimental methods is a plus Strong coding skills in R, Stata, or other statistical software package Good communication skills in
-
. Prerequisites Doctoral degree with quantitative training or research experience Training and experience in quasi-experimental methods is a plus Strong coding skills in R, Stata, or other statistical software
-
18.10.2022, Wissenschaftliches Personal The lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is looking for a Post-Doc. The task will be the multi-modal modeling of medical data
-
energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes
-
Enthusiasm for an exciting new computing paradigm involving the development of innovative solutions Openness to communicate, cooperate and exchange ideas within a joint endeavor of multiple vibrant research
-
, methods, and algorithms into existing high-performance frameworks, the fast prototyping of new ideas in individual code, an interest in the entire simulation pipeline: starting from simple algorithms