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disease and to develop pioneering therapies benefiting the lives of patients in areas of unmet need. With more than 70 research groups and 800 employees, the Department of Biomedicine is the largest
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. Empa is a research institution of the ETH Domain. Our group focusses on the development of carbon-based (thermo)electric nanoscale devices and their application for quantum technologies and energy
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microphysical responses of supercooled clouds to intentional aerosol perturbations within the BeyondCloudlab project. Our research group studies the role of clouds and aerosols in the climate system. Our goal is
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The University of Basel, Switzerland, invites applications for a PhD researcher position (100% FTE) for the project Aspirational Urbanism and the Recodification of Defiance (ASPIRA). The function
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The chair of Prof. Dr. Gabriele Bucchi, at the Italianistics Division of the Linguistics and Literature Department of the University of Basel opens a position for a PhD candidate to be integrated in the team of the Italian Literature section as a scientific assistant (60%), starting on 1...
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100%, Zurich, fixed-term The Architecture and Building Systems (A/S) research group at ETH Zurich, headed by Prof. Arno Schlueter, investigates energy systems in the context of climate and human
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We offer you We offer a full-funded PhD position in a highly interactive, multidisciplinary, and international research group within the Biozentrum. Our group spans expertise in physics, molecular
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positions available in the following research areas: A.) Strong interaction at low energy, dark matter, mu --> e conversion, parity violation (research group of Martin Hoferichter) B.) Hadronic contributions
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posted 2022/03/31, updated 2025/06/01, listed until 2025/07/31) Position Description: Apply Position Description The Condensed Matter Theory and Quantum Computing Group at the University of Basel led by
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Your position Our group conducts research at the intersection of artificial intelligence (AI) and pediatric healthcare, developing AI and machine learning (ML) methods to address real-world clinical