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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | about 1 month ago
Status Part-time Hours Per Week 26 Offer Starting Date 17 Sep 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
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) and the German Academic Exchange Service (DAAD) since 2007. Under this CAS-DAAD joint programme up and coming young Chinese scientists from the University of Chinese Academy of Sciences (UCAS) and CAS
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 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 Starting date: 01.02.2026
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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description The BM2 Lab is an interdisciplinary research group at the interface of physics, computer science & biology interested in understanding morphogenesis, bio-mechanics and their interaction in living
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funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number DSS-23 Is the Job related to staff position within a Research Infrastructure? No Offer Description GESIS
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, including pharmacoepidemiological research, computational assessments, network neuroscience, and reverse clinical trials. The project's working hypothesis is that scoping methods can help to improve
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varieties arising from zero-mutable Laurent polynomials. Prior experience in any of these areas as well as an interest in combinatorial and computational methods is welcome, but not required. What we offer