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marine and environmental research. In the Department of Ocean Biosphere Dynamics, we are looking to fill a position as Scientific Programmer (m/f/d) High-Performance Computing and Software Engineering The
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 25 days ago
technologies Experience with data management, metadata annotation, and with the use of high-performance computing environments Team-oriented, proactive, service mindset with strong communication skills, as
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parameters, are inevitable. Specifically, the improvement of emission inventory data by data assimilation applications has demonstrated strong positive impact on the analysis’ performance. However, recent
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marine and environmental research. In the Department of Ocean Biosphere Dynamics, we are looking to fill a position as Scientific Programmer (m/f/d) High-Resolution Ocean Physics and Numerical
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Job description: DESY The Cluster of Excellence "Quantum Universe" performs research to understand mass and gravity at the interface between quantum physics and cosmology. The research team includes
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same aptitude, qualifications and professional performance, we give priority to people with severe disabilities when considering them for vacancies. Apply online now: https://karriere.klinikum.uni
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Helmholtz-Zentrum Berlin für Materialien und Energie | Berlin, Berlin | Germany | about 2 months ago
engineering of pulsed electromagnets using 3D CAD systems, taking into account mechanical design, electromagnetic performance, cooling, stability, and long-term reliability Hands-on experience with laboratory
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intelligence to solve complex, interdisciplinary challenges? Are you interested in transforming theoretical AI concepts into practical, scalable solutions on high-performance computing (HPC) systems? If so, we
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/ Silicon Tandem Solar Cells Your Tasks You will design and coordinate experiments as well as perform hands-on lab work for the processing of perovskite/silicon tandem solar cells using vacuum-based
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in the areas of statistical methods for high-dimensional and/or large-scale data, mathematical and statistical foundations of machine learning, statistics of stochastic processes and dependent data