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- UNIVERSIDAD POLITECNICA DE MADRID
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structures like aircraft and vehicles. The research aims to develop a significantly more efficient numerical method. The candidate will thoroughly derive, implement, and validate novel models for crack
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data in order to identify the different cooling stages and analyse the influence that different parameters may have on heat treatment D. Detailed numerical modelling of the heat treatment process to be
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Development of a numerical tool for assessing radon prevention and mitigation methods in energy-efficient new buildings and existing buildings A PhD position is available in the Department of Physics
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funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Data integration and numerical modelling
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inference and/or Monte Carlo methods. The numerical solution of partial differential equations. The initial contract duration will be of 1 year with ample possibilities for renewal. Our hope is to later on
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: Numerical and experimental study of liquid-gas multiphase flows with particles Where to apply Website https://appsrecerca.urv.cat/cgi-bin/programes/application/inici.cgi?conv=2025PM… Requirements Research
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systems, with a particular focus on saline lakes and coastal lagoons. The research will combine fieldwork, water and sediment sampling, laboratory analyses, and numerical modelling to improve our
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to Galactic Archaeology and Near-field Cosmology, both from the observational (e.g. Gaia, WEAVE, 4MOST, LSST) and theoretical perspective, in collaboration with the “Numerical Astrophysics” research team
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communication skills in English Strong background and knowledge of the Finite Element Method or any other relevant numerical methodology. Other valued skills (not mandatory): Authorship or co-authorship of journal
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applying for observational time, analysing the observations, and aligning the results to numerical simulations of star formation. The candidate is expected to have experience with Gaia data and good