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of Engineering, with a focus on advanced solid oxide fuel cell (SOFC) modelling, three-dimensional combustion and engine simulation, and AI-assisted modelling approaches for hybrid marine propulsion system
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ambitious researcher with a strong background and experience in biomechanics, finite element modelling (FEM), medical image processing, additive manufacturing (AM). The project will be carried out in close
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of Engineering, with a focus on advanced solid oxide fuel cell (SOFC) modelling, three-dimensional combustion and engine simulation, and AI-assisted modelling approaches for hybrid marine propulsion system
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communication skills and on nursery practitioner’s behaviours during story telling using a randomised controlled trial. The research will also investigate how the TWiTCH programme was implemented in different
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of laser optics, including Gaussian beam optics, accousto and electro-optics. Experience with Rydberg systems. Experience automating control of experiments, such as with LabView and/or python software
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on: · Leveraging Yb clock states to form lattices of ²Σ CsYb molecules · Quantum many-body physics with ultracold polar molecules · Controlling collisions between laser-cooled molecules and atoms
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modelling and faster digital technologies. We pride ourselves on closely aligning our teaching with the University’s research‑intensive ethos. Research‑led learning is embedded at every stage of our
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the holistic understanding of space and its broader societal, ethical, and environmental impacts. Through responsible, multi-disciplinary research, including novel sensors, environment modelling
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the holistic understanding of space and its broader societal, ethical, and environmental impacts. Through responsible, multi-disciplinary research, including novel sensors, environment modelling