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%) PhD student in Adapting and Strengthening End-of-Life Steel sections for Reuse through Wire Arc Additive Manufacturing. The position is available with a flexible start date, as soon as possible starting
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CDSS is currently seeking to appoint a Research Software Engineer with experience in scientific computing to strengthen our team of experts to support the ETH research community as
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100%, Zurich, fixed-term The Environmental Policy Lab at ETH Zurich is inviting applications for two fully funded PhD positions focused on biodiversity policy and strategic spatial planning
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(PhD, MSc, BSc) and oversee student theses. Develop operational data processing workflows for hyperspectral data and contribute to the design of a software framework for processing multispectral and
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The Molecular Pharmacy group at the Department of Pharmaceutical Sciences is focused on early stages of drug discovery, including target identification and validation, the design, screening, characterization and optimization of molecules with drug-like properties, and the development of novel...
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100%, Zurich, fixed-term We invite applications for a PhD position in the field of computational neuroscience. The successful candidate will join a dynamic team at the neural dynamics lab
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). Contribute to the supervision of thesis and to MD, PhD and MD-PhD thesis committees / juries, as well as doctoral programs. Organize and participate in internal and external seminars, etc. UNIL is committed
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The Chair of Sustainable Construction at ETH Zurich invites applications for a 4-year PhD position within the SNF-funded National Research Programme NRP82 project “NewUrbES – Co-creating new urban
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related to 3D concrete printing. The primary goal is to develop innovative and attractive solutions for the problems hindering the wide-scale adoption of digital fabrication methods in the construction
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100%, Zurich, fixed-term The Chair of Space Geodesy invites applications for an exciting PhD opportunity focused on advancing research in satellite gravimetry for hydrology using machine learning