202 computer-security "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs in Switzerland
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- ETH Zurich
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- ETH Zürich
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- EPFL - Ecole Polytechnique Fédérale de Lausanne
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natural plant defenses and reduce pathogen entry into leafy vegetables, contributing to sustainable agriculture and improved food safety.
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infrastructure (e.g., software platforms, databases, laboratory automation, and computer-aided instrument control). Translating chemical research questions into IT-supported processes and computational solutions
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to commercial-grade systems, we are seeking a visionary Lead Architect to drive the design and development of the V2.0 system. This role is critical for establishing technical novelty, securing a new IP portfolio
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Neuroanatomy, and using model systems relevant to human development or disease. You will also be expected to secure competitive research funding and publish high-quality papers in your field. Alongside your
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of paediatrics at UKBB. Your clinical experience and commitment to postgraduate medical education will secure and further develop the training of paediatric residents and senior physicians in accordance with
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. Profile Ph.D. in Nuclear Engineering, Physics, Chemical Engineering, or a related field. Experience with computational chemistry and simulation tools. Prior knowledge of nuclear safety, severe accident
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operations that are yet to be fully understood. In this context, it is evident that the operation, control, and planning of power systems will soon be pushed to their limits. Therefore, new computational
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dynamical systems, and machine learning, with applications to synthetic biology and biomolecular circuit design. Our research develops mathematical and computational frameworks for understanding and
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systems. Empa collaborates with the Federal Office for Defence Procurement, armasuisse, to assess and optimize the energy supply security for a defence relevant site in Switzerland. A particular focus lies
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100%, Basel, fixed-term The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational