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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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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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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 11 days 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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Dynamic Systems offers a position as Research Associate / PhD Student in FPGA Design for AI Applications (m/f/x) (subject to personal qualification employees are remunerated according to salary group E 13
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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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Identify new applications for Machine Learning in science, engineering, and technology Develop, implement and refine ML techniques Implement parallel ML training on the High Performance Computers Engage in
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of state-of-the-art analysis pipelines Your qualifications: PhD in biology, chemistry, biochemistry, or a related discipline; several years of relevant experience (ideally three years) in using and
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 1 month 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