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Germany and across Europe for research purposes via an independent peer-review process. As part of this remit, the JSC carries out research and development work in the fields of technology, HPC systems
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machine learning models for weather and climate, such as the WeatherGenerator/EarthGenerator and develops high-end HPC and cloud data infrastructures to support this research. Your Job You will
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supercomputer and runs JUNIQ, the first European user infrastructure of quantum computing. Within the division HPC for Quantum Systems, the Simulation and Data Laboratory (SDL) Numerical Quantum Field
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scale: Training neural models with mixed precision solvers." This is a joint project involving Prof. Dr. Michael Bader (TUM CIT, Hardware-aware algorithms for HPC) , Prof. Dr. Felix Dietrich (TUM CIT
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meteorological data and evaluate atmospheric model results - You will develop and apply methods for geostatistical interpolation of ultrafine particle concentration data - You will run models on HPC
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probabilistic framework - you will develop and evaluate uncertainty quantification methods - you will train and scale models on HPC systems - you will benchmark your approach against existing methods (e.g
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Grafing bei München, Bayern | Germany | about 2 months ago
drive innovation. Through strong partnerships, we accelerate the transfer of new ideas from the lab to real-life applications, improving lives. **The Helmholtz Pioneer Campus (HPC) founded and funded
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research purposes via an independent peer-review process. As part of this remit, the JSC carries out research and development work in the fields of technology, HPC systems, communications, highly scalable
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develop innovative simulation technologies, for example for particle and multiscale problems. About your role: Research on HPC simulation software, particularly molecular-continuum simulations on
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Helmholtz Association of German Research Centres | Geesthacht, Schleswig-Holstein | Germany | 2 months ago
in a unified probabilistic framework - you will develop and evaluate uncertainty quantification methods - you will train and scale models on HPC systems - you will benchmark your approach against