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generative modelling, and graph neural networks. Additional responsibilities include developing research objectives and proposals; presentations and publications; assisting with teaching; liaising and
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generative modelling, and graph neural networks. Additional responsibilities include developing research objectives and proposals; presentations and publications; assisting with teaching; liaising and
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modern Bayesian modelling frameworks such as Stan, Turing.jl, and PyMC, including automatic differentiation frameworks, MCMC sampling algorithms, and iterative Bayesian modelling. Special attention will be
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reputable outlets appropriate to the discipline Co-ordinate own work with that of others, deal with problems which may affect the achievement of research objectives and contribute to the planning
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, and application of infection and drug assays. Statistical analysis and data visualisation. To identify, develop and apply a broad range of techniques to pursue the research objectives. To present
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mechanics, such as inferring the instantaneous state of a fluid’s velocity field from sensors embedded in its boundary. The research objective is to find the best way to embed simple partial differential
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. The successful candidate will be responsible for supporting the interdisciplinary and multidisciplinary research and professional development objectives of the programme, including implementation of advanced
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to support a translational research project aiming to elucidate the role of extracellular vesicles in obesity-related musculoskeletal decline and frailty. Using advanced nanoparticle tracking microscopy and
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research project results in a fluid mechanics context, i.e. a record of peer-reviewed journal papers in a relevant area. Proven track record, supported by high-impact publications as first author, of
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objective is to find the best way to embed simple partial differential equations into AI-based models to solve fluid sensing problems in a robust and efficient manner. Your role may include developing new