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individuals, some tracked for more than a decade. You will be responsible for advancing and applying state-of-the-art probabilistic deep generative models, including conditional diffusion and flow matching
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versed in materials synthesis and characterisation, and thin-film deposition techniques. Knowledge of semiconductor physics and a track record of working with next-generation novel materials for light
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task objectives, organise work and delegate as appropriate, keeping accurate and comprehensive records of work undertaken. You will contribute intellectually to the development of projects and help shape
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to agree clear task objectives, organise work and delegate as appropriate, keeping accurate and comprehensive records of work undertaken. You will contribute intellectually to the development of ‘pathfinder
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relevant scientific subject though we would consider a very strong candidate with an MSc and substantial relevant experience. You will have a proven track record of developing and delivering reproducible
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have the ability to identify research objectives and to carry out appropriate research activities within a given timescale, demonstrating the ability to work co-operatively with colleagues in
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track record of method development in statistical genetic and the ability to manage your own academic research and associated activities are essential. A medical qualification and experience of analysing