70 security-"https:" "https:" "https:" "https:" "Keele University" uni jobs in Switzerland
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- ETH Zurich
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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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, developing the cities of the future, global food security and human health. To foster knowledge transfer, ETH Zurich maintains close collaborative research relationships with industry including: Disney
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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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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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are FAIR-compliant, secure, efficient, and operated in a sustainable manner over the long term. Furthermore, you will actively participate in the design, prototyping, and further development of RDM
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passion for interdisciplinary science to join our team. Project background This position is part of the project “Forest Management and Drinking Water Security under Climate Change” supported by the Swiss
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equipment, manage samples, and ensure lab safety while contributing to innovative projects. What You'll Do: Fix, embed, section, and stain tissue samples (H&E, IHC, and specialized stains). Operate and
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manufacturing of components for the surgical insertion and secure shipment of UFTEs Assembly of surgery-ready UFTEs to be used in-house or shipped to collaborators This is a max. 1.5-year position that can start
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capabilities, with only a very small fraction dedicated to AI safety. The research of the new assistant professor tenure track (APTT) will focus on the mathematics of responsible and trustworthy AI
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deployment by enabling quick data collection, calibration, and policy training while ensuring safety and efficiency. For this, we develop novel learning-based control and policy optimization techniques. We're