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, AI, Computational Fluid Dynamics, Hydrodynamics, Optimisation, or a related discipline. Experience of applying machine learning and deep learning to engineering or physical systems. Strong scientific
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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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in flow stability analysis and solid knowledge of computational fluid dynamics. Applicants are invited to contact Prof. J. Hao at telephone number 3400 8060 or via email at [email protected]
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the next-generation multi-physics simulation environment for hypersonics. To support these goals, the University seeks applicants with significant experience in computational fluid dynamics, methods
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are required. Experience in python, Fortran, C++ and parallel computing are a plus. 3. Good publication record in peer-reviewed journals for fluid mechanics. 4. A Ph.D. degree in relevant
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We are looking for a researcher, whose expertise lies in computational fluid mechanics and finite element methods, to work with Matthew Hubbard and Reuben O’Dea on a Wellcome Trust funded project
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and immunization compliance, respiratory protection and fit testing, blood and body fluid exposure management, communicable disease evaluation, workplace injury follow-up, return-to-work support
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) Established Researcher (R3) Application Deadline 13 Oct 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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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description of the workplace The Clinical Memory Research Unit conducts
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on patient samples, and performs quality control for hematology, coagulation, urinalysis, stool, and body fluids procedures based on laboratory procedures and policies. Such Hematology Laboratory testing may