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scalable training and inference on parallel, distributed and GPU-accelerated computing systems Benchmark the developed approaches against established methods, assessing predictive performance, generalisation
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project entitled "Energy Storage as an Enabler of Sustainability through Optimization, Machine Learning, and High-Performance Computing," supported by the Dieter Schwarz Foundation through a Courageous
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, computer science, mathematics, statistics, economics, or related disciplines, an interest for the application of operations research in energy systems and strong programming skills. Familiarity with parallel
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Max Planck Institute for Physics, Garching | Garching an der Alz, Bayern | Germany | about 1 month ago
to work on Higgs data analysis within our ATLAS Muon Group. Our long-standing analysis program focuses on exploring the properties of the Higgs boson and searching for physics phenomena beyond the Standard
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23 Sep 2026 Job Information Organisation/Company Constructor Knowledge Labs gGmbH Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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that protect researchers, their data and their compute against a fast-evolving threat landscape. Your Tasks Design and operate our HPC clusters across four data centers, including scheduler (SLURM), parallel
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The Faculty of Mathematics, Informatics and Statistics, Ludwig-Maximilians-Universität München (LMU) and the Federal Statistical Office (Statistisches Bundesamt, Destatis) invite applications for a
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PROGRAMME AT THE KÄTE HAMBURGER CENTRE Questions about reparation and irreparability are at the heart of KHK CURE’s research programme, taken up by fellows and members of the CURE team from a range of
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governing bodies: program design, briefings for the Director and the presenting teams, protocol and logistics, and structured follow-up Communications, exhibitions and visibility: You coordinate
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 3 months ago
area # Good knowledge of electronic structure methods for crystals and 2D materials # Experience with parallel computing paradigms # Good knowledge of numerical methods # Experience with high-performance