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Centre of Excellence. This is a unique opportunity to work on advanced image analysis and image-driven modelling as part of a wider multi-disciplinary programme that includes mathematical modelling, cancer
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unique opportunity to work on advanced image analysis and image-driven modelling as part of a wider multi-disciplinary programme that includes mathematical modelling, cancer metabolomics and novel
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degree (or equivalent if from other countries) in Chemistry, Physics, Mathematics, Computer Science or Natural Sciences or a related subject. A MChem/MSc-4-year integrated Masters, a BSc + MSc or a BSc
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we are looking for The candidate should have a 1st or high 2:1 degree in mechanical/aerospace/manufacturing engineering, computer science, physics, mathematics, or related scientific disciplines
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foundation in either machine learning or mathematical/computational neuroscience, demonstrable programming experience (Python/PyTorch), and the curiosity to work across disciplinary boundaries. A background in
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degree (or equivalent if from other countries) in Chemistry, Physics, Mathematics, Computer Science or Natural Sciences or a related subject. A MChem/MSc-4-year integrated Masters, a BSc + MSc or a BSc
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PhD Studentship: Sustainable Road Binders from Biogenic Supply Chains Positions are filled on a first‑come, first‑served basis, so early expressions of interest are encouraged. Supervisors: Prof. Gordon Airey, Dr Anand Sreeram, Dr Nick Thom, Dr Richard Taylor Programme length: Four years...
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relevant discipline in engineering, science, or mathematics. Experience with modelling, simulation, optimisation, or programming (e.g. Python, MATLAB, C++, or similar) would be advantageous, though not
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travel. Requirements: The candidate should have a 1st or high 2:1 degree in electrical/mechanical engineering, physics, mathematics, or related scientific disciplines. Skills in numerical tools and
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equivalent)) Knowledge of simulation platforms like MATLAB Simulink/PLECS. Coding and hardware skills are desirable. Strong analytical/mathematical skills. Passion for research and willingness to learn. Good