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FFA on different type of metallic surfaces as a function of temperature and concentration. The modelling data and principal component analysis will be used to build property-structural relationships
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manufacturing processes, especially for the transportation sector and medical technology. To this end, materials are tailored and manufacturing processes are designed to conserve resources – from the modeling
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capability is mandatory, how can the grid-forming capability, MPPT, and other functions of a wind turbine be balanced in the best technical way? The aim of this PhD project is to develop wind turbine models
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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
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We are recruiting highly motivated and enthusiastic doctoral students in the field of synthesis, characterisation and/or modelling of next generation materials for hydrogen storage and compression
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6th April 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a PhD Candidate in magnetohydrodynamic modeling of electric arcs in silicon
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for part-time employment. Starting date: 27.03.2026 Job description:PhD position on physics-based machine learning modeling for materials and process design Reference code: 2026/WD 1 Commencement date
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Infrastructure? No Offer Description At Université Gustave Eiffel (Champs-sur-Marne, Paris region, France), we have an open call for a PhD position titled “Pore Network Modeling of Multiphase Flow in CO₂–Water
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Council (ERC) Starting Grant project SustainCARE, with a focus on multiscale hygrothermal modelling for documentary heritage. The position is based at the Institute of Conservation and is to be filled by 1
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Council (ERC) Starting Grant project SustainCARE, with a focus on spatiotemporal degradation modelling of documentary heritage. The position is based at the Institute of Conservation and is to be filled by