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Karlsruher Institut für Technologie (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 2 months ago
description: The Scientific Computing Center is the Information Technology Center of KIT. The Research Group Exascale Algorithm Engineering of SCC works at the interface of algorithmics, parallel computing, and
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advanced imaging. The successful candidate will have the opportunity to develop and lead their own independent research project and build a small research team by hiring PhD students and postdocs. In
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comprised of a variety of W3 University professors along with their postdocs and PhDs. You will contribute to SFB1574 - the Circular Factory, which explores how future production systems can seamlessly
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, chromatin profiling, and advanced imaging. The successful candidate will have the opportunity to develop and lead their own independent research project and build a small research team by hiring PhD students
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
to minimize training effort # Devise appropriate metrics to evaluate and tune trained models with respect to reproduction of key physical results # Contribute to a parallel training workflow to stream data from
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build reliable, reproducible data flows for large EO datasets and workflows Lead performance engineering (parallelization, optimization, benchmarking) for adaptation and inference at scale Work closely
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for large EO datasets and workflows Lead performance engineering (parallelization, optimization, benchmarking) for adaptation and inference at scale Work closely with industry partners and public agencies
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of novel sample preparation strategies and the establishment of state-of-the-art analysis pipelines Your qualifications: PhD in Biology, Chemistry, Biochemistry, or a related discipline; several years
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 2 months ago
domains of population research by combining the methods and perspectives of computational sciences, social and behavioral sciences, and statistics. The field has emerged in parallel with rapid technological
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: The successful applicant must have the following: • PhD degree in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing, or related fields • Experience in