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control of industrial emissions and reduce health and environmental risks. Bringing together fluid mechanics, high-performance computing, and data science, this project fosters a dynamic, collaborative
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that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the CFI Project (https://www.pub.gov.sg/-/media/PUB/Resources/Press-Releases/2024/06/Annex
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dispersive equations, completely integrable PDE, and fluids. Applicants are required to have a strong background in analysis and PDE. Experience with probabilistic and/or computational aspects of nonlinear PDE
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Engineering, Chemical Engineering, Applied Physics, or a related field. A strong foundation in (multiphase) fluid dynamics. Proven experience with experimental work and a drive to explore and improve state
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a globally recognized hub for pioneering research in experimental and computational fluid mechanics, hydrology, and earth-surface dynamics. For over 80 years, our innovative and adaptable facilities
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Engineering or a closely related discipline. You will have demonstrable experience in one or more of the following areas: Finite Element Analysis, Computational Fluid Dynamics, Discrete Element Method, Multi
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Responsibilities As a QA&RA Technician you will support MiMARK’s Quality and
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) Established Researcher (R3) Application Deadline 18 Feb 2026 - 12:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme
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The Fire and Explosion Modelling Group (FEMG) at University of Surrey is seeking a Research Fellow to work on computational fluid dynamics (CFD) analysis of accidental releases of liquid hydrogen and ammonia
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for simulation and modeling of wave dynamics, and for uncertainty quantification of extreme events. The project will combine stochastic mathematical models of wave physics with advanced computational methods