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on geotechnical engineering Relevant research experience in molecular dynamics simulations and computational fluid dynamics will be preferred. Excellent proposal writing and report writing skill Excellent journal
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are strong communicators and work well with both students and staff, in addition to displaying potential for research excellence in aero-fluid dynamics and potentially biofluid mechanics. The department is
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-liquid critical point. The dynamic nature of the degree of miscibility renders such fluid pairs to be applicable in several applications such as liquid-liquid mass transfer, flow pattern tuning to name a
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for engineering careers in aviation, starting as early as 1928; housing one of five NASA centers of excellence in Computational Fluid Dynamics in the 1970s; building the world’s first Tornado and Downburst
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Mechanical Engineering or equivalent qualification The ideal candidate will have a master's degree in mechanical engineering, with a solid background in fluid dynamics, thermodynamics, and numerical methods
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Centre Euopéen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS) | Toulouse, Midi Pyrenees | France | 7 days ago
). It hosts several scientific teams covering several topics (climatology, fluid mechanics, parallel algorithms...) among which the CFD (Computational Fluid Dynamics) team is the largest. The main fields
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. The post is funded by the Leverhulme Trust and is part of an international multidisciplinary research project entitled “Solute motion in complex fluids: mathematics and solvation dynamics”. The programme
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) of the following areas: Dynamic analysis of offshore wind turbines under complex environmental loading. Fluid–structure interaction phenomena in offshore wind systems, including instabilities, resonance mechanisms
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language is an asset. During the interview, your motivation for applying to this role will be explored. Knowledge and background in Computational Fluid Dynamics (CFD) and programming (e.g. C++, Python) is an
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Physics and AI: Physics-Informed Machine Learning (PIML): Physics-informed neural networks, with applications to Fluid dynamics, plasma physics, elasticity, weather modeling AI for Scientific Discovery in