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Due to unique properties of supercritical CO2 (sCO2), power generation systems using sCO2 as working fluid have many advantages over their counterparts, such as gas turbines and steam turbine power
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Research theme: Neuromorphic computing How to apply: uom.link/pgr-apply-2425 No. of positions: 1 This 3.5 year PhD is fully funded for a home or overseas student; tuition fees will be paid and you
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research team. Good knowledge and experience in heat and mass transfer is essential and proficiency in the use of Computational Fluid Dynamics will be considered an advantage. The student will benefit from
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Computer Science PhD Scholarships PhD scholarships are available in the Computer Science CDT, with some attached to specific projects. Eligibility: Home and international fee paying students
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We are looking for a motivated and curious PhD student with a background in computational biology, bioinformatics, or genomics to join our research team. This exciting project, funded by
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Are you passionate about cognitive computational neuroscience and eager to contribute to cutting-edge research in perception? We invite applications for a fully funded PhD studentship supported by
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experience in computational modelling. It will involve the use of open-source computational fluid dynamics codes, with turbulence modelling and porous media approaches. It will also require the development
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Current modelling and simulations require either generic assumptions to be made for fluid dynamic based modelling leading to inaccuracies between modelled and experimental data or, intense
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a first or second-class UK honours degree (or equivalent) in aerospace/mechanical engineering, physics, or a related field. Experience in numerical fluid dynamics is helpful but not essential
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hypothesis of the proposed research is by use of intelligent and integrated control of the input power electronics, fluid handling, and thermal control in a holistic approach, current efficiency and lifespan