62 computing "https:" "https:" "https:" "Ohio State University" PhD positions in Switzerland
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PhD position (4 years) on oxo clusters building blocks for MOFs A PhD position is available in Inorganic Chemistry in the research group of Professor Jonathan De Roo. You can start as soon as possible. Your position Topic of research: Metal-organic Frameworks (MOFs) are promising for...
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with project partners and disseminate results through reports, visualisations, and scientific publications Your profile You hold an M.Sc. in Data Science, Computer Science, Engineering, Physics
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Biomedicine is
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(R1) Application Deadline 26 May 2026 - 21:59 (UTC) Country Switzerland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Your position The candidate will have the opportunity to exploit some of the cutting-edge experimental and computational methods, comprising constraint-based and kinetic modeling, statistical
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. This international PhD is part of the Collaborative Doctoral Partnerships programme, training researchers at the science-policy interface. Your profile Qualification and specific competences required Master's degree
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well as external academic and industry partners. Your profile You are a highly motivated and talented candidate with a Master’s degree in Engineering, Control, Computer Science, Physics, Applied Mathematics, or a
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. The deadline for applications for this Fall Call is April 20, 2026. Please submit your application to our PhD program or our MD-PhD program online. Where to apply Website https://www.fmi.ch/education-careers
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varied responsibilities in a dynamic, nationally and internationally oriented research environment Access to state-of-the-art experimental and computational infrastructure Attractive employment conditions
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore