425 engineering-computation "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions in Switzerland
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development. Job description We are searching for a scientific assistant who assists and coordinates teaching activities in the international master program Spatial Development and Infrastructure Systems
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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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interpretation of explosion events in underground ammunition storage facilities. The position is embedded in a collaborative project with armasuisse Science and Technology and partners from industry and the Swiss
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100%, Zurich, fixed-term The Advanced Manufacturing Lab (am|z) at the Department of Mechanical & Process Engineering (D-MAVT) at ETH Zurich develops advanced manufacturing methods and systems
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Jun 2026 - 23:59 (Europe/Zurich) Country Switzerland Type of Contract Temporary Job Status Full-time Hours Per Week 41.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Application Deadline 17 May 2026 - 23:59 (Europe/Zurich) Country Switzerland Type of Contract Temporary Job Status Full-time Hours Per Week 41.5 Is the job funded through the EU Research Framework Programme
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Deadline 1 May 2026 - 23:59 (Europe/Zurich) Country Switzerland Type of Contract Temporary Job Status Full-time Hours Per Week 41.5 Is the job funded through the EU Research Framework Programme? Not funded
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screening platforms, with a focus on skin tissue models, including fibrosis. We are embedded within the Tibbitt group, in the Macromolecular Engineering Laboratory . Project background The glycocalyx is a
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The current era of artificial intelligence is predominantly driven by advances in computational power and infrastructure. As models scale to unprecedented sizes, their capabilities are enhanced
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-scale geospatial and Earth system datasets, within the NCCR CLIM+ program. The role bridges climate science and AI, developing novel methods for climate data analysis, downscaling, and synthesis using