56 phd-in-mathematical-modelling-of-biochemical-reactions PhD positions in Switzerland
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- University of Basel
- Empa
- ETH Zürich
- Paul Scherrer Institut Villigen
- Zürcher Hochschule für Angewandte Wissenschaft ZHAW
- CERN - European Organization for Nuclear Research
- EPFL
- ETHZ & University of Zurich
- Ecole Polytechnique Federale de Lausanne
- Fluxim AG
- Prof. Dr. Ricarda Toerner
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Science at the University of Basel is inviting applications for a PhD position in Mathematics, funded by the SNF Ambizione grant “Investigating Anomalous Behaviour in Turbulent Fluids through Analytical and Probabilistic
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supervision at Technische Universiteit Eindhoven) over a period of 36 months. We are seeking a highly motivated PhD candidate to join our research team working on mathematical modelling of electrochemical
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supervision at Technische Universiteit Eindhoven) over a period of 36 months. We are seeking a highly motivated PhD candidate to join our research team working on mathematical modelling of electrochemical
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The Department of Mathematics and Computer Science at the University of Basel is inviting applications for a PhD position in Mathematics, funded by the SNF Ambizione grant “Investigating Anomalous
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student will develop novel, generalized models of doping in semiconductors, based on the drift-diffusion framework of Fluxim’s simulation software Setfos. The PhD project involves the following
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programming, modelling, and data analysis skills. Experience with formulating and solving mathematical optimization problems is an asset. Proficiency in English is required; good comprehension and oral skills
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University of Geneva, Department of Mathematics Position ID: University of Geneva -Department of Mathematics -PHD [#28616] Position Title: Position Type: Student programs Position Location: Geneva
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD on interrogating chirality at the nanoscale We
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with the environment, biochemical quality attribute evolution within the products, and thermally-driven damage (chilling-freezing injury). Use these models to build physics-based digital twins
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cooling, convective exchange with the environment, biochemical quality attribute evolution within the products, and thermally-driven damage (chilling-freezing injury). Use these models to build physics