13 phd-mathematical-modelling-ecological-modelling Postdoctoral research jobs at Empa in Switzerland
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, advanced materials, and innovative concrete strengthening solutions. Our work combines experimental investigations, analytical modelling, and numerical simulations to develop and validate novel reinforcement
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Preparation of results for publishing and presentation at conferences Development of models for health and environmental impact assessment Your profile We are looking for a candidate with: PhD in the area of
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skills in programming, modelling, and data analysis. Experience in formulating and solving mathematical optimization problems, as well as working on real-world demonstrators, is an asset. Proficiency in
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, analytical modelling, and numerical simulations to develop and validate novel reinforcement systems. This position is part of an Innosuisse-funded collaborative project with industry partners, focusing
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industrial needs, we are looking for a postdoc holding a PhD in material science, physics or chemistry, with a clear link to X-ray based analytical methods, especially to X-ray diffraction and even more
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modelling and AI/ML for the quality monitoring/control, at the end offering to the society novel nanostructured materials, their shape-forming and integration into devices. Your tasks We are seeking a highly
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funded by the Swiss Federal Office of Energy. Your tasks The research project focuses on the solvent-free manufacturing of battery electrodes to improve the ecological footprint of lithium-ion batteries
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the results in form of patents or publications, as well as assist in the technology transfer Your profile We invite applications from candidates possessing: A PhD degree with substantial experience in Chemical
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probe tomography or scanning probe microscopy. Your profile You hold a PhD in Physics, Materials Science or similar. A high level of motivation to work in close collaboration with industry
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Disseminating the results in form of patents or publications, as well as assist in the technology transfer Your profile We invite applications from candidates possessing: A PhD degree with substantial experience