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and resilience. The project lies in the intersection of multiple disciplines, such as forest management, economics, engineering and ecology. The project is funded by INN as an independent project and
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2 Jul 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Chemistry » Physical chemistry Engineering » Chemical engineering Engineering » Materials
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influences ice dynamics and ultimately the rate of mass loss from the ice sheet. The position is part of the ERC-funded FirnMelt project: Meltwater runoff and retention in Greenland's firn: a process-based
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6 Jul 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Materials engineering Physics » Optics Researcher Profile First Stage
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boiling performance only work for the simple shapes that have been empirically tested. The successful PhD student will conduct research in two-phase flows, with a focus on physics-informed machine learning
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) Required English level: Upper-intermediate (B2 LanguagesFRENCHLevelGood LanguagesENGLISHLevelGood Research FieldEngineering » Computer engineering Additional Information Selection process Applications must
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physics or other relevant fields. Prioir experience in cleanroom processing and/or thermal or material analysis is highly recommended. TU Delft (Delft University of Technology) Working at TU Delft means
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PhD thesis student (f/m) at ESRF and University of Bath to study CO₂ capture by coupling X-ray Raman
14 Aug 2026 Job Information Organisation/Company European Synchrotron Radiation Facility Research Field Physics Researcher Profile Established Researcher (R3) Positions PhD Positions Application
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23 Jun 2026 Job Information Organisation/Company CNRS Department Physique et mécanique des milieux hétérogenes Research Field Engineering Physics » Acoustics Engineering » Materials engineering
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
methodologies to complex engineering systems; Development and application of advanced Scientific AI methodologies, including surrogate models, generative models, probabilistic models, and data-driven and physics