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to enhance efficiency, power density, and performance in applications such as high-performance computing (HPC) systems and artificial intelligence (AI) accelerators. Responsibilities and qualifications As a
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-field measurements, HPC-based numerical simulations, and laboratory experiments. Oldenburg is particularly renowned for its unique large wind tunnel with an active grid and leading expertise in developing
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Experience of working in HPC environments Previous experience in RNA and comparative genomics Position details The successful candidate will be employed on a full-time, three-year fixed term contract starting
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education in theory and practice of generative modeling, have research experience or education in life science data and have prior experience with remote GPU and HPC services. After the qualification
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Computing (HPC) environment and/or in pharmacology is an advantage Excellent capacity to work with others in a collaborative environment We offer Multilingual and international character. Modern institution
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affordable electricity. Therefore, we conduct laboratory experiments, free-field measurements and HPC-based numerical simulations. We have direct access to the DLR research wind farm WiValdi ( https
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access to the high-performance computing infrastructure at ZIH Dresden, one of Germany’s leading HPC centers. Dresden, the capital of the State of Saxony, is a city with a beautiful historical city center
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fabrication facilities as well as high performance computing (HPC) facilities at QUT. PhD2: Pore-network modelling of reactive transport As a PhD student, you will develop efficient pore-network modelling
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computing infrastructure at ZIH Dresden, one of Germany’s leading HPC centers. Dresden, the capital of the State of Saxony, is a city with a beautiful historical city center and offers a high standard of
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Your Job: In this position, you will be an active part of our Simulation and Data Lab for Applied Machine Learning. Within national and European projects, you will drive the development of cutting-edge Machine Learning applications on the Exascale computer JUPITER. Your work will...