256 computational-physics-"https:"-"https:"-"https:"-"https:"-"Tilburg-University" positions in Switzerland
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2026, with a 100% workload, based in Zurich, and is fixed-term for three and a half years. Working across sociocultural, political-economic, and theoretical contexts, the LUS Doctoral Program fosters
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research focuses on the process- and system-understanding of biosphere‒atmosphere greenhouse gas exchange, plant ecophysiology, and ecosystem services of agroecosystems as well as stable isotope applications
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modeling of typical cases, the physical drivers behind the enhanced climate trends over mountains can be identified and understood. The funded Ambizione project entails the modeling of realistic case studies
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researcher to advance our understanding of magmatic and volcanic systems. Job description Develop and lead an independent research program in magmatic petrology, volcanology, and/or geochronology. Publish
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We look forward to receiving your online application (English, PDF format), including: Motivation letter (max. 1 page) outlining your qualifications and motivation for this project. Research proposal (max. 3 pages) on "Future of food processing for affordable, nutritious and more sustainable...
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The Mobile Robotics Lab (MRL) at ETH Zürich pushes the limits of robot intelligence. We want to build robots that can safely explore, navigate, and interact with their environments—specifically, how learned perception can drive action in a closed loop and how we can leverage foundation models...
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close collaboration with experimental and clinical partners, and we are embedded in one of the strongest AI and computer science environments worldwide. Learn more about our research and recent work
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We look forward to receiving your online application with the following documents: Motivation letter CV Academic transcripts At least 2 reference letters Application deadline: March 31st, 2026 Earliest starting date: June 2026 Please note that we exclusively accept applications submitted through...
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energy-related applications. Our research portfolio spans fundamental materials chemistry, process–structure–property relationships, and application-driven R&D, in close collaboration with academic and
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, Biostatistics, Software Engineering, Systems Operations, and Screening & Lab Automation. Embedded in this multi-disciplinary environment, the Clinical Bioinformatics group translates computational biology into