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Field
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combustion and engine simulation, and AI-assisted modelling approaches for hybrid marine propulsion system development incorporating a range of decarbonisation technologies. This position is part of the EPSRC
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experimental methods for space applications. The successful applicant will independently conduct relevant research activities, including the design, simulation, and construction of instruments for space
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to: Design, model and optimise microwave circuits, antennas and antenna systems for CubeSat and related space applications. Undertake full-wave electromagnetic simulation and numerical modelling of microwave
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learning. The successful applicant will work with Assistant Professor Abigail Bodner, leveraging results from a state-of-the-art large-eddy simulation based on Oceananigans.jl that resolves scales ranging
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Curriculum vitae with full publication list Statement of research interests Transcript/ latest copy of degree Contact details of at least three references Sample relevant publications (if available
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copy of degree Contact details of at least three references Sample relevant publications (if available) Applications will be accepted immediately, and candidates will be considered until the position is
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focuses on the development of GPU-accelerated, high-fidelity thermal runaway simulation models for lithium-ion battery cells, modules, packs, and complete battery systems. Thermal runaway is a chain
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that accelerate excited-state simulations, integrate them into open-source scientific workflows, and validate their accuracy and performance on energy-relevant molecular and materials systems. You will also create
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simulation and AI-supported data analysis are central tools. The work is carried out at the Department of Fibre and Polymer Technology and in collaboration with FOI and industrial partners. Qualifications
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of the system is still insufficiently understood. This project investigates the underlying fluid-structure interaction mechanisms and develops advanced numerical methods for high-fidelity simulation