Sort by
Refine Your Search
-
Employer
- Nature Careers
- Technical University of Munich
- Leibniz
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Forschungszentrum Jülich
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Christian-Albrechts-Universitaet zu Kiel
- European XFEL
- Free University of Berlin
- Heidelberg University
- Helmholtz Zentrum Hereon
- Max Planck Institute for Biological Intelligence (Martinsried site), Martinsried
- Max Planck Institute of Animal Behavior, Radolfzell / Konstanz
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- 5 more »
- « less
-
Field
-
partner from data sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal
-
internationally visible research environment with access to cutting-edge technologies in immunology, (spatial) multi-omics, advanced imaging and computational biology. Our requirements Applicants should hold a PhD
-
for research and software development tasks Define the overall architecture of the VIOLET research prototype, focusing on its role as a methodological demonstrator and ensuring interoperability with Medical
-
cell handling, differentiation, and organoid formation, while inte-grating automated imaging, quality control, and data analysis. A strong component of the work will be the programming and customization
-
partner from data sciences provides data management and AI based Image analysis, an internal experimental group, and an internal simulation-sciences group (You+Supervisor+support by lab
-
18.10.2022, Academic staff 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. The lab
-
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 Enthusiasm