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80%-100%, Zurich, fixed-term The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in
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end optical microscopy, phenotyping, multiplexing Interest in interdisciplinary research at the ETH Zurich in Basel with cell biology, organoid biology, nanotechnology, mechanobiology, computational
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interdisciplinary research at the ETH Zurich in Basel with cell biology, organoid biology, nanotechnology, mechanobiology, computational biology and biophysics is welcome Ability to work independently as well as part
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of computer graphics fundamentals, numerical methods, and GPU/parallel computing concepts. Experience with at least one major deep learning framework (PyTorch preferred). Excellent problem-solving skills and
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applications. HPC and orchestration of scientific data processing workflows. Parallel computing (GPU & CPU). good software engineering practices for scientific software (version control, testing, continuous
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Circuits and Systems Group at ETH Zurich focuses on advancing energy-efficient computing across the full performance spectrum, from ultra-low-power IoT nodes to high-performance systems. Its research
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Network with 15 funded 3-year PhD positions in parallel. Your profile Master Degree in environmental/natural sciences or engineering, or similar. Experience with developing computational models Preferably
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The Robotic Materials group at ETH Zurich Department of Materials is looking for three postdocs and one PhD for the project funded by ERC Starting Grant : "Distributed Addressable Robotic Material