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arrangements. Computational Fluid Dynamics (CFD) tools will be used for validation. Candidates must hold at least a first degree or a Master-degree in Mechanical Engineering or a relevant subject. This project
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Particle Fluid Dynamic (CPFD) model development. The person appointed will be affiliated with the Research Group in Energy and Environmental Technology (URGENT). Duties Complete the doctoral programme up
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absorption in gasification of biomass. The overall approach is lab-scale experiments in combination with Computational Particle Fluid Dynamic (CPFD) model development. The person appointed will be affiliated
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Requirements Research FieldEngineeringEducation LevelPhD or equivalent Skills/Qualifications Technical Background: PhD in aeroacoustics for wind turbines. Required knowledge: Computational Fluid Dynamics
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ExperienceNone Additional Information Eligibility criteria Expected skills : • Strong background in computational fluid dynamics. • Knowledge of RANS and/or LES methodologies. • Interest in uncertainty
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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2027 - 12:48 (UTC) Country Luxembourg Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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37.5h/week Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The VHIR Clinical
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part of a clinical training program unless research training is the primary purpose of the appointment. Skills & Experience: • Ph.D. or equivalent doctoral degree (Sc.D., M.D., D.V.M., or similar