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of a collaborative team, led by Dr Sarah Morgan at the School of Biomedical Engineering and Imaging Sciences. The School is a world leading centre of expertise in AI for healthcare, providing
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department in its field, running a globally competitive programme of research and teaching. Botnar Institute for Musculoskeletal Sciences enables and encourages research and education into the causes
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society and to realising our vision of making the world a better place. The Lord Lab is based in the Centre for Gene Therapy and Regenerative Medicine (CGTRM) within the Faculty of Life Sciences & Medicine
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-resolution confocal microscopy, quantitative image analysis and computational approaches to investigate host metabolic responses during infection. The role also involves analysing and integrating large-scale
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-resolution confocal microscopy, quantitative image analysis and computational approaches to investigate host metabolic responses during infection. The role also involves analysing and integrating large-scale
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. Desirable experience in AI-assisted image analysis, machine learning, computational modelling, or building predictive models from biological imaging or cell–material interaction datasets. Strong experience in
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. About You You will have a PhD in computer science, engineering, mathematics, or similar, strong programming skills, and experience with a contemporary machine-learning framework such as PyTorch. You will
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Faculty of Social Sciences. The aim of the CCL is to improve our understanding of the causes, processes and effects of mediated communication using computational methods. We strive to advance core fields of
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. About You You will have a PhD in computer science, engineering, mathematics, or similar, strong programming skills, and experience with a contemporary machine-learning framework such as PyTorch. You will
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society and to realising our vision of making the world a better place. The Lord Lab is based in the Centre for Gene Therapy and Regenerative Medicine (CGTRM) within the Faculty of Life Sciences & Medicine