Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Leibniz
- Nature Careers
- Constructor University Bremen gGmbH
- DAAD
- Deutsches Elektronen-Synchrotron DESY
- European Magnetism Association EMA
- Fraunhofer-Gesellschaft
- Fritz Haber Institute of the Max Planck Society, Berlin
- HBIGS Heidelberg Biosciences International Graduate School
- Max Planck Institute for Biogeochemistry, Jena
- TU Dortmund
- University of Göttingen •
- 3 more »
- « less
-
Field
-
the field of model-driven and data-driven computational science. Job description Are you interested in bridging the gap between mathematical sciences on the one side and natural sciences, engineering and
-
communication systems for AI-driven applications. The objective is to investigate, design, and experimentally validate information-theoretically secure coding schemes tailored to the demanding requirements
-
field * Strong background in mathematical and computational sciences * Experience with large-scale machine learning, foundation models, or data-centric AI is a plus * Driven, with a strong work ethic and
-
algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Develop solutions to integrate large foundation models
-
CANCER (F/M/D) Starting on May 1st, 2026 (with flexibility). We have pioneered the development of synthetic tumor immune microenvironments, engineered from artificial cells that mimic immune functions
-
(4DSTEM). This approach will combine three-dimensional charge distribution data, generated through atomistic simulations, with machine-learning-driven modelling to guide and refine the phase reconstruction
-
12.01.2026, Academic staff The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial contract 1.5
-
of Excellence “BlueMat: Water-Driven Materials” (www.tuhh.de/bluemat ) and contribute to one of Europe’s most exciting research initiatives. Collaborate with a dynamic, interdisciplinary team that combines
-
by a training programme in computational physics, data analysis techniques, space technology, project management, scientific writing, and presentation and other skills. Space missions and ground-based
-
Germany GmbH and the Engineering Risk Analysis Group of Prof. Straub, which provides information on both the health and the actual stress of helicopter components. For this so-called “Health and Usage