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vehicles. Another research focus is on solid-state pulse modulators for medical applications (computer tomography/cancer treatment) and accelerators (CERN). For the design and optimisation of the various
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of computational and applied mathematics, including but not limited to data-driven numerical modeling, scientific machine learning and AI for science and engineering, computational uncertainty quantification
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, regressions, and evaluation failures Profile Essential MSc or PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field Exceptional BSc candidates with strong
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programmes will run in parallel: (1) reconstructing the regulatory architecture of E. coli at high resolution as a foundation for predictive models of gene regulation; (2) building large-scale single-cell
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images against reference pre-training and post-training workloads together with Apertus engineers, and maintain working launch examples Compute partnership and efficiency Serve as the primary technical
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for Apertus models, from checkpoints during training to released models Make evaluations run quickly and at scale: parallel execution on Alps, efficient use of inference backends, caching, and result tracking
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80%-100%, Lugano, 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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Engineering Laboratory has a long-standing research program in the engineering of ex situ organ perfusion systems, developed as part of the interdisciplinary Liver4Life project in collaboration with
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80%-100%, Zurich, permanent The High Performance Computing group at ETH Zurich provides world-class HPC and AI/ML infrastructure to researchers across all departments. We operate compute clusters
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several projects moving in parallel. You communicate clearly in English, in writing and in negotiation. German is a plus, not a requirement. Workplace Workplace We offer A role with genuine ownership. You