10 computational-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Computer-Vision-Center" Fellowship positions at King's College London in India
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multidisciplinary team of physicists, computer scientists, AI engineers, radiochemists, and biologists, with access to world-leading imaging facilities, advanced computational resources, and cutting
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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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project aims to develop new methods for estimating blood pressure and quantifying flow inefficiencies using medical imaging, machine learning, and computational modelling. The doctoral candidate will
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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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populations and routine clinical practice. This project aims to develop new methods for personalising cardiovascular digital twins at scale. The doctoral candidate will create computational approaches
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interactions, including the development of new computational methodologies alongside experimentalists developing new wet lab methods and to produce relevant publications. The successful candidate
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interactions, including the development of new computational methodologies alongside experimentalists developing new wet lab methods and to produce relevant publications. You should have extensive
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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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THC, the main active component of cannabis. Working within a thriving, multidisciplinary environment alongside computational, cognitive, experimental medicine, and psychopharmacology researchers, the
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RNP assembly and its defects in neurodegenerative diseases. The Research Fellow will work on computational studies of protein-RNA interactions, including developing new techniques and produce relevant