Sort by
Refine Your Search
-
Listed
-
Employer
- Nature Careers
- Leibniz
- Technical University of Munich
- Forschungszentrum Jülich
- University of Tübingen
- Heidelberg University
- Free University of Berlin
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Fraunhofer-Gesellschaft
- Max Planck Institute for Chemical Physics of Solids, Dresden
- WIAS Berlin
- ; Technical University of Denmark
- ; University of Cambridge
- DAAD
- European Magnetism Association EMA
- GFZ Helmholtz-Zentrum für Geoforschung
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Heart and Lung Research, Bad Nauheim
- Max Planck Institute for Astronomy, Heidelberg
- Max Planck Institute for Biology Tübingen, Tübingen
- Max Planck Institute for Brain Research, Frankfurt am Main
- 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 Physics, Garching
- Max Planck Institute for Plasma Physics (Garching), Garching
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- Max Planck Institute for Sustainable Materials GmbH, Düsseldorf
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Max Planck Institute for the Study of Crime, Security and Law, Freiburg
- Max Planck Institute of Biochemistry, Martinsried
- Max Planck Institute of Biophysics, Frankfurt am Main
- University of Duisburg-Essen
- University of Greifswald
- University of Paderborn
- 25 more »
- « less
-
Field
-
). The empirical research should capture and analyze teaching and learning processes, for example by video analysis or eye-tracking. Development activities for instance may include AI tools, the creation
-
or equivalent and a PhD (or close to completion) in computer science, math or comparable, or an applied/life science (e. g. engineering, biology, medicine) with a focus on data analysis and/or machine learning
-
. Your qualifications An excellent PhD degree either in Computer Science, Physics, Mathematics or related fields, ideally with a background in quantum theory, quantum computing or quantum machine learning
-
and analysis of mathematical methods for novel imaging techniques and foundations of machine learning. Within the project COMFORT (funded by BMFTR) we aim to develop new algorithms for the training
-
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
-
experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical and machine learning methods in the context of biological systems Experience with programming (e.g
-
the United Kingdom, USA, Denmark, and Germany. In addition to this core project, the research group works on a wide variety of research, with foci being medication effectiveness, health services research, and
-
Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
holography. We are seeking a highly motivated postdoctor-al researcher to join our multidisciplinary team at the intersection of optics, electronics, machine learning, and atmospheric science. The successful
-
)! Tübingen has a long history of academic excellence (founded in 1477; DNA was discovered here ; linked to 11 Nobel laureates) and is an innovation center in medicine and machine learning. About Eberhard
-
in an area of safe machine learning and/or applications in healthcare Management of a team of PhD students, postdocs, and software developers Coordination of the implementation of research prototypes