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Europe Marie Skłodowska-Curie Actions Doctoral Network (MSCA DN) COMBINE. The successful candidate will undertake research on: Deep learning for solidification in multiphase flows with radiative heat
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disciplines include, but are not limited to, airframe design, aircraft aerodynamics, multiphase flow simulation, numerical modelling, electrical simulation, experimental testing, and hydrogen storage and
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. Interpret a broad spectrum of abdominal and pelvic imaging studies, including CT, MRI, ultrasound, and radiography. Perform and interpret advanced body imaging studies, including multiphasic CT and MRI
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-electro-catalytic (PEC) processes. In particular, it proposes to integrate within the CatalyticFoam multiscale modeling framework the multiphase fluid dynamic description, light transport and its
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, bubble formation and methods to control or remove unwanted air in industrial processes. Knowledge of fluid dynamics, multiphase flow and rheology, and their relevance to manufacturing process optimisation
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of fluid mechanics, multiphase flows, thermodynamics and heat exchange, laser measurement techniques, machinery dynamics, tribology and diagnostics of energy production machinery. The thematic orientation
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organization in the field of fluid mechanics, multiphase flows, thermodynamics and heat exchange, laser measurement techniques, machinery dynamics, tribology and diagnostics of energy production machinery
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falls within the activities of the AURIGA project and focuses on the theoretical and experimental investigation of mass transfer, the modelling of multiphase reactors using ionic liquids for CO
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equivalent) in fluid mechanics, physics, engineering, or a closely related discipline. Experience in laboratory-based research is essential. Experience in areas such as high-speed imaging, multiphase flows
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