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infrastructure that supports world-class science in Switzerland. To achieve this mission, multiple specialized engineering teams must collaborate effectively, utilizing a dynamic set of processes and tools
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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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targets an order-of-magnitude improvement in efficiency through parallelization, near-sensor processing, and heterogeneous architectures with specialized accelerators. chevron_right Working, teaching and
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the general public, scientist and third party applications access the meteorological data, and in view of Open Government Data, new APIs, workflows and data processing framework are being developed. Job
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of Mechanical and Process Engineering, ETH Zurich). This interdisciplinary project investigates how the immune system responds to implanted materials, aiming to develop strategies that improve tissue integration