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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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Vacancies PhD position on Smart Materials for Information Processing Key takeaways This position is part of the NWO KIC Smart Materials project, Smart Materials for Information Processing, in
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Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was listed again
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, cover letter and a response to the Key Selection Criteria, as listed in the position description. Please Note: Appointment to this position is subject to passing a Working with Children Check. For further
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, Neutrino physucs , Noise mitigation , Non-equilibrium quantum physics , Nonequilibrium physics in bulk and molecular quantum materials , Nonlinear and Complex Systems , Nonlinear Integral Systems, Classical
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Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was listed again
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Hypersonics Doctoral Network. This network is supported by the Ministry of Defence and EPSRC for building the necessary expertise to develop next-generation hypersonic vehicles. Objectives: You will investigate
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100%, Zurich, fixed-term The Nonlinear optics for Epitaxial growth of Advanced Thin films (NEAT) laboratory within the institute of Multifunctional Ferroic Materials in the Materials Department is
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. Quality has been our top priority for over four hundred years, and with success: the University is currently in or around the top 100 on several influential ranking lists. The Faculty of Science and