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of turbo-compressors suitable for industrial high temperature heat pumps (IHTHPs). The focus will be on the gas flow path considering non-ideal gas behaviour and multi-stage arrangements. Computational Fluid
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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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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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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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(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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, National University of Singapore (NUS). The group’s general program of research involves the coupling of organic materials, mechanical forces, and electrostatics at different interfaces (e.g., solid, liquid
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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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17 Jul 2026 Is the job funded through the EU Research Framework Programme? Interreg Reference Number Inv.Jun.15.2026-DQ Is the Job related to staff position within a Research Infrastructure? No Offer