37 postdoctoral-computer-graphics-game Postdoctoral positions at University of London
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View All Vacancies Veterinary Epidemiology, Economics & Public Health Group Location: Hawkshead (nr Potters Bar, Herts) Salary: £34,824 to £39,969 Per Annum Including London Weighting Fixed Term / Full Time Closing Date: 23.59 hours BST on Wednesday 25 June 2025 Interview Date: Tuesday 08 July...
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About the Role The School of Electronic Engineering and Computer Science at Queen Mary University of London is looking to recruit a Postdoctoral Research Assistant to support the projects led by Dr
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motivated computational Postdoctoral Research Assistant to lead on an established and successful research line aimed at understanding the genetic events that drive cancer evolution. We have a long-lasting
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About the Role The purpose of this role is to provide qualitative and quantitative research support for a research and impact programme on food reformulation. This role sits within the Research and
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About the Role This role will involve undertaking the evaluation of a digital social intervention in primary care in England. A summary of the programme grant is found here. The individual will be
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responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal
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About the Role We are in search of exceptional, self-driven postdoctoral research associates (PDRAs) to join a dedicated team in developing and testing a groundbreaking minimally invasive device
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You will have a PhD in Computer Science or a related discipline or will have obtained it by commencement of the position. Successful candidates will have experience of model training methodologies
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About the Role We seek a Postdoctoral Research Associate to join the Translational Lymphoma Research group of Professor Okosun. Our lab studies the pathogenesis of lymphomas, investigating intra
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About the Role We are seeking a researcher for a new programme focused on improving understanding of cancer risk and developing novel multicancer risk prediction models to support cancer prevention