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Field
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Cardiovascular Data Science Hub. You will be working with Prof O’Regan and his team to support a program of research using cardiovascular imaging, genetics and health data to discover disease mechanisms and
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to the clinic The post holder will be based in the Department of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers
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: Pharmaceutical Biophysics, Chemical Biology, Drug Delivery, Pharmacology and Therapeutics, and Clinical Practice and Medication Use. There is a vibrant PhD programme with more than 100 students, and a
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for Computational Psychiatry and Ageing Research. We are now recruiting an internationally recognised leader in the field of imaging-informed cognitive neuroscience to work with some of the world’s leading
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Systems, or a related field. Strong analytical and critical thinking skills. Strong machine learning (ML), computer vision (CV), large language models (LLM) for quantitative data, texts, images, and sensor
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an appropriate subject (including Computer Science, Physics, Maths, Engineering) Knowledge of modern machine learning techniques and experience with coding in Python is beneficial (but not a strong requirement
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both King's College London's School of Biomedical Engineering & Imaging Sciences (BMEIS) in the Faculty of Life Sciences and Medicine, and Guy's & St Thomas' National Health Service (NHS) Foundation
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About Us The London Institute for Healthcare Engineering (LIHE) is part of the School of Biomedical Engineering & Imaging Sciences in the Faculty of Life Sciences & Medicine at King’s College London
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cell biology and disease modelling. The successful applicant will employ human pluripotent stem cell (hPSC)-based models and in vitro differentiation to dissect the links between chromosomal copy number
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expertise in Robotics, Lab Automation and Image Informatics. You will be also supported by a senior supervisor from Draeger. Candidates should have an undergraduate qualification in Computer and Data Science