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capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas
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be compared and calibrated. In-silico technique based on Computational Fluid Dynamics (CFD) will also be developed to provide further information necessary for the development of new MRI image scanning
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and durability of machines. Greases are semi-solid consisting of a fibre network (thickener) and a base fluid. The thickener network acts as a sponge holding the base fluid within. During rubbing
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experimental models with patient-derived specimens. Utilizes cutting-edge technologies Long-standing interest in advancing the understanding of human neuro-immunology Focus on analysis of: Cerebrospinal fluid
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/ plasma research are preferred. Knowledge of computational fluid dynamics is a plus. Strong organisational and communication skills are expected in order to facilitate interaction with several external
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multidisciplinary couplings accounting for multiphase phenomena, thermal kinetics, fluid-structure interaction and environmental interactions will be implemented to enable the creation of digital twins and surrogate
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such as fuel systems, transportation and power generation. Vision We are seeking a highly motivated PhD researcher with a passion for fluid dynamics, AI, and sustainable aviation. The vision of this PhD is
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of the fluids under consideration. This will be coupled with the use of in-house models that can be employed to explore and predict the behaviour of newly developed fluids in different components and applications
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Start Date: As soon as possible Application deadline: 1st April 2026 Introduction: Climate change and the race to decarbonize our society is making extreme events in fluids more prevalent. These
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to develop strong skills in viscous fluid mechanics, numerical methods and applied mathematics. Start date: October 2026. Duration: 4 years. Education: A strong 4-year degree or MSc degree in Mechanical