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by ATi/Innovate UK and Rolls Royce and is fixed-term to June 2029. You will join a world‑leading programme advancing experimental and numerical methods to predict the impact performance of composite
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The post holder will join the Physical Oceanography and Palaeoclimate groups in the Department of Earth Sciences and perform numerical model data analysis relevant to two projects: MEZCAL and
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workshops and producing accessible toolkit resources, with a proof-of-concept focused on diabetes prevention for women of South Asian and Black African heritage. In parallel, the post holder will work
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coupled particle-and-field stochastic processes following a path integral approach that combines Doi-Peliti and Martin-Siggia-Rose field theories. This method will be applied to model complex stochastic
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. Ability to use computer algebra software (e.g. Mathematica or Maple) for symbolic computations 2. Good numerical skills 3. Experience in field-theoretical methods (e.g. supersymmetry) 4
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of reproducing aerodynamic loads in real time for physical experiments. The project combines numerical modelling, data-driven methods, and laboratory experimentation to advance next-generation real-time hybrid
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parallel, the Institute is developing state-of-the-art methods that integrate living tissues with synthetic scaffolds to model and repair organs. These efforts converge across three interrelated programmes
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crosslinks and how this pathway contributes to bacterial survival following antibiotic treatment. This work will be tightly coordinated with live-cell fluorescent microscopy approach undertaken in parallel in
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temporal reasoning ultrasound AI tools. Thus, the work will involve both computational methods research and collaborating with clinical domain experts to design and evaluate models in simulated and real
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biological properties of LATs, including particle size, degradation rate, and drug release profiles. You will build representational methods for APIs and excipients, apply Bayesian optimisation to experimental