24 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Princeton" Fellowship positions at King's College London
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reconstruction, physics, artificial intelligence, and data analysis, alongside industrial partners developing next-generation imaging technologies and multi-centre imaging solutions. We are seeking an
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research ( https://www.kcl.ac.uk/scms ). We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and we drive
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( https://www.kcl.ac.uk/scms ). We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and we drive the
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closely with members of the What Works Network to strengthen the wider evaluation ecosystem and promote the adoption of evidence-based interventions. See more at: https://www.kcl.ac.uk/policy-institute
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information about the department can be found at: https://www.kcl.ac.uk/mathematics About the role Applications are invited for a position of Teaching Fellow in Probability in the Department of
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cellular, molecular and translational research to advance our understanding of neurodegeneration and develop new therapeutic approaches. About the role: Dr Sarah Marzi https://ukdri.ac.uk/team/sarah-marzi
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to job search About Us Within the Faculty of Life Sciences & Medicine (FoLSM), the School of Biomedical Engineering and Imaging Sciences ( https://www.kcl.ac.uk/bmeis ) is a cutting-edge research and
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digital pathology, and longitudinal clinical data. The resulting datasets will form high-dimensional spatial atlases that connect molecular processes to cellular interactions, tissue architecture
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London. The Centre for Data Futures , established in 2024, pioneers participatory infrastructure across the entire AI lifecycle. We envision a future where communities actively shape the AI systems that
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publications. The successful candidate should have experience in large-scale analyses of protein-RNA interactions. Experience applying deep learning to genomic sequence data, including fine-tuning of