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interest in data-intensive systems. You bring a solid foundation in software or data engineering, typically developed through a Master’s degree or higher (e.g. PhD) in Computer Science or a related field, or
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, mathematics, physics, engineering, computational biology or a related quantitative field ● Hands-on experience with biological data ● Strong Python skills and experience with PyTorch or JAX, together
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100%, Zurich, fixed-term The Chair of Applied Macroeconomics is associated with the KOF Swiss Economic Institute at ETH Zurich and is part of the Department of Management, Technology and Economics
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researcher (100%) to join the project “DEPOPLAND: Drivers and trajectories of social-ecological change in depopulating rural landscapes”, funded by the Swiss National Science Foundation. Project background
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the date and grade of the MA-degree, the diploma must be handed in no later than February 9, 2027). • List of foundations and other funding opportunities to which applications can be submitted for continued
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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of Technology Marketing) and the TUM Campus Munich (Professorship of Marketing & Technology). The two positions (Position A: ETH Zurich - technology & VR development focus; Position B : TUM Campus Munich
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PhD in one of these areas. Candidates should have an exceptional academic record, a strong background in machine learning, and a robust mathematical foundation. They are also expected to have strong
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-year PhD position is funded by the NCCR CLIM+ program ( NCCR CLIM+ — Climate Extremes and Society ), financed by the Swiss National Science Foundation. NCCR CLIM+ supports Switzerland in
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100%, Zurich, fixed-term The position is part of the Swiss National Science Foundation (SNSF) project H-Shifts : "The ²H fingerprint of plant metabolites to trace carbon metabolic shifts