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Dynamics group combines biochemistry, next-generation sequencing and computational analysis to understand how chromatin remodelling enzymes shape nucleosome positioning and genome regulation. We develop and
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remote sensing data using High-Performance Computing at LRZ Publication of the results in scientific journals Assistance in teaching REQUIREMENTS: An above-average degree in mathematics, computer
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). AI methods, and especially machine learning (ML) with deep neural networks have replaced traditional data analysis methods in recent years. The Technical University of Munich (TUM), together
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 3 months ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description:Postdoc in
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20.01.2026, Academic staff In the framework of the DFG priority program 1374 "Biodiversity Exploratories" We invite application for a (www.biodiversity-exploratories.de) the Arthopods project is
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integration into a science-industry collaboration with practical relevance HIGH-PERFORMANCE COMPUTING: Leverage cutting-edge computational resources, including access to top European supercomputers on site
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Transport. Within each of these fields, research programs are developed by our scientists and regularly evaluated by renowned international experts. Their evaluation forms the basis for the program-oriented
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candidates which are explored in more depth. In particular you will work on the extension, development and analysis of new quantum algorithms for near-term and fault tolerant quantum computers for drug
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-berlin.de . The Leibniz-Institut für Kristallzüchtung invites applications for a Post-doctoral Researcher (m/f/d) position. The successful candidate will contribute to an exciting research program focused
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
of such systems, taking particularly into account model uncertainties as well as limitations pertaining to acquisition of data, communication, and computation. We apply our methods mainly to human-robot-teams