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Field
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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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technologist to join our PET imaging team at King’s College London (KCL) & Guy’s and St Thomas’ (GSTT) PET Centre. The Centre is part of both King's College London's School of Biomedical Engineering & Imaging
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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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push the boundaries of neural scene representations in a medical imaging context. The successful candidate will work alongside a multidisciplinary team of deep learning researchers, computer vision
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(or equivalent) in a biomedical science. Experience in neuroscience and/or immunology is desirable. Project key words Retinal imaging, data-analytics, computer vision, big data Funding The studentship, funded by
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collection activities. Supervision will be provided by academics from various disciplines specializing in biomechanics, image processing, and computer vision, alongside orthopaedic surgeons and academics.
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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Master’s degree in physics, mathematical biology, computational biology or a related subject. They should have good skills in programming languages such as Python, MATLAB or R, and experience in image
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. The work will be at the intersection of computer vision and data science in translation medicine. The post holder will also use 3D+time digital models of the heart for classification, association and
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Master’s degree in physics, mathematical biology, computational biology or a related subject. They should have good skills in programming languages such as Python, MATLAB or R, and experience in image