Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Nature Careers
- Technical University of Munich
- Leibniz
- Heidelberg University
- University of Tübingen
- DAAD
- Fraunhofer-Gesellschaft
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Bonn University
- Forschungszentrum Jülich
- Free University of Berlin
- Georg August University of Göttingen
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Humboldt-Universität zu Berlin
- Max Planck Institute for Heart and Lung Research, Bad Nauheim
- Max Planck Institute for Biological Intelligence (Seewiesen site), Seewiesen
- Max Planck Institute for Biology Tübingen, Tübingen
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Max Planck Institute for Extraterrestrial Physics, Garching
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- Max Planck Institute for Legal History and Legal Theory, Frankfurt am Main
- Max Planck Institute for Radio Astronomy, Bonn
- Max Planck Institute of Biochemistry, Martinsried
- 13 more »
- « less
-
Field
-
, specifically methods that combine machine learning and optimization with physics-based simulation and/or physical constraints and translate these methods into impactful industrial applications. The position is
-
biophysics, computational biology, mathematics in the life sciences, computer science and machine learning with application to biological systems, and related areas. What we provide The CSBD provides fully
-
to joint research activities, publications, and surveys. Requirements PhD degree (or near completion) in robotics, control, machine learning, or a related field; Strong publication record demonstrating
-
: active learning (uncertain cases first), smart sampling, confidence thresholds, gradations (auto-label/review/manual), measurement and decision logic for throughput vs. quality. Proficiency in programming
-
on the true, astrophysical candidates is a computational needle in a haystack. To tackle these “big data” challenges, astronomers have begun to employ machine learning techniques. The application of machine
-
, imaging). • Solid foundations in signal processing and statistics. • Experience with machine learning for regression (e.g., tree-based methods, neural networks) • Hands-on experimental skills: ability and
-
Postdoc (f/m/d) on Generative AI for de Novo Protein Design / Completed university studies (PhD) ...
for Advanced Systems Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research. The Department of Machine Learning for Infection and Disease is looking for a Postdoc (f
-
training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills and familiarity with machine learning
-
challenges, the school provides a wide variety of topics, from logic in autonomous cyber-physical systems to machine learning in Earth System models. You will have one supervisor from the mathematical sciences
-
), proteomics (LC-MS/MS), (epi)genomic data processing, multi-omics integration, machine learning approaches for high-dimensional data, confocal / two-photon imaging, tissue clearing and light-sheet microscopy