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flares using the assumption of hydrogen recombination continuum emission, in place of a blackbody estimate. In parallel, but not in collaboration, Pietrow, Cretegnier, Druett et al. (2024) have advanced
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Computational modelling of the emergence of somatosensory cortical maps School of Psychology PhD Research Project Self Funded Dr Hannes Saal, Dr SP Wilson Application Deadline: Applications
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explore data-driven methods including machine learning (ML) and artificial intelligence (AI) techniques, to develop predictive HMPM tools that can diagnose, detect, and predict faults in machinery
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development, excellent time management skills and who is able to work on their own initiative, working methodically and accurately to follow procedures and instructions. Main duties and responsibilities First
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recruitment strategies for a novel prostate cancer screening study. Prostate cancer is the second commonest cause of cancer death in men in the UK. Currently there is no NHS screening programme, with men
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, high-speed parallel processing of powdered feedstock benefits from precise control over material microstructure and offers improved part functionality in a wide range of applications. Students will have
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the application of cementation to the immobilisation of radioactive wastes, to reduce the hazard posed by the potential release of radioisotopes to the biosphere. Design and implement an experimental programme to
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. You will take an active role in analysing, categorising and documenting the collected data, developing of vulnerability/fragility curves using numerical methods, implementing exposure models, performing
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and led by Prof Graham Leggett. The aim of our five-year programme is to develop a new modular approach to the creation of photonic materials, inspired by structures found in biological photosynthetic
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, and is complicated further by the nature of anisotropic materials. The goal of this research is to use finite element methods to develop computational models which can accurately replicate behaviour