Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Technical University of Munich
- Nature Careers
- Leibniz
- Forschungszentrum Jülich
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Fraunhofer-Gesellschaft
- Hannover Medical School •
- Humboldt-Stiftung Foundation
- Biomedical Center, LMU Munich
- Universität Hamburg •
- Academic Europe
- Deutsches Elektronen-Synchrotron DESY •
- Dresden University of Technology •
- Helmholtz Munich
- Helmholtz Zentrum Hereon
- Institute for X-Ray Physics, University of Göttingen
- Karlsruhe Institute of Technology •
- Ludwig-Maximilians-Universität München •
- Max Delbrück Center
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for Sustainable Materials GmbH, Düsseldorf
- Max Planck Institute for Sustainable Materials •
- TU Dresden
- Technische Universität Berlin •
- University of Münster •
- University of Stuttgart
- University of Stuttgart •
- University of Tübingen •
- 20 more »
- « less
-
Field
-
working in interdisciplinary and international teams and have image processing or image analysis skills. In addition, you are able to express yourself confidently both orally and in writing in English. What
-
clinical use-cases for benchmarking existing state-of-the-art (SOTA) Federated Learning algorithms. This includes running a few pre-processing pipelines. Develop SOTA FL algorithms that tackle data
-
System analysis, prognosis and control Transport processes Image Processing High Performance Computing Financial Mathematics Materials characterization and testing What you bring to the table You have
-
, or in a related discipline Profound data processing and image analysis skills Good knowledge in programming, ideally in Python Ability to work self-reliant and to collaborate in a team of scientists
-
matter physics, biomedical/material engineering or a related discipline. You have a strong background in data analysis and image processing. You enjoy working in interdisciplinary and international teams
-
to study translational aspects of cancer (single-cell sequencing of immune cells, organoid co-cultures, cellular engineering via CRISPR/Cas9 technology, in vivo imaging, advanced animal models of allo-SCT
-
(SOTA) Federated Learning algorithms. This includes running a few pre-processing pipelines. Develop SOTA algorithms in Robustness against data and model poisoning attacks. Develop SOTA algorithms in
-
the research areas of Infection Medicine and Microbiology, Immunology, Oncology, Neurosciences, Pharmacology/Cardiology/Vascular Medicine, Imaging Technology and Biomedical Engineering, amongst others. A large