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Nuffield Department of Clinical Neurosciences (NDCN), MRC Brain Network Dynamics Unit, Mansfield Road, Oxford The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic...
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About the role We are seeking a full-time Postdoctoral Research Assistant or Research Assistant with relevant experience to join the Control group at the Department of Engineering Science in central Oxford. The post is funded by The Faraday Institution and is fixed term to 30 September...
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a Medical Research Council (MRC) award. This is an exciting opportunity to contribute to an innovative project focused on developing state-of-the-art, AI-powered diagnostic and prognostic tools
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(pcmlab.co.uk ) to develop a prototype tool for utilizing this prediction tool in a clinical environment. About You You will have expertise in deep learning and programming. Experience working with medical
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(pcmlab.co.uk) to develop a prototype tool for utilizing this prediction tool in a clinical environment. About You You will have expertise in deep learning and programming. Experience working with medical imaging
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cytometry, in vitro infection techniques, and bio-informatic analysis is desirable. About the Institute The Blizard Institute was established in 2003, one of six Institutes within the Faculty of Medicine and
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About Us We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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. Department: Res Dept of Biomedical Computing. Contact details:Dr. Rachel Sparks. rachel.sparks@kcl.ac.uk Location: St Thomas Hospital. Category: Research. About Us We are seeking experts in medical image
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Marin in Cambridge together with Wei Lee (Harvard Medical School) and Meg Younger (Boston University) have obtained a Wellcome Discovery Award to proofread, annotate, and analyse the first mosquito brain
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About the Role This new post will be at the forefront of interdisciplinary medical research contributing to the design-led development and evaluation of patient-centred risk-communication tools