311 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" Postdoctoral positions in United Kingdom
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learning to improve detection using multiphase CT imaging and longitudinal biomarker data in routine practice. You will work with multidisciplinary clinical and AI teams on applied research, developing and
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machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. What We Offer As an employer, we
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information about this position and to apply, visit http://jobs.sgul.ac.uk . Closing date for applications: Sunday 12 April 2026 If there is any issue with applying for the role, please email recruitment
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folding. The ability to rapidly learn new techniques is highly desirable, and enthusiasm for working across disciplinary boundaries is essential. Full training will be provided where needed. Prior
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and data processing skills: experience of programming in one or more languages (e.g. R, C/C++, Python, Matlab). Practical experience of algorithm development and implementation of machine learning
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). The successful candidate will work in Dr Ruxandra Dafinca’s team ( https://www.ndcn.ox.ac.uk/team/ruxandra-dafinca ) in a stimulating environment as part of the Nuffield Department of Clinical Neurosciences and
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machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. About the Role The post is funded
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electrophysiology data obtained through collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in
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:38183983) using cutting-edge genomics technologies (https://www.biorxiv.org/content/10.1101/2024.12.20.629444v5 ) to provide core knowledge for development of new therapies and management strategies for PPK
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knowledge exchange in heritage, arts, culture, and forensic investigation. Face Lab is a research group within the Forensic Research Institute (FORRI) at Liverpool John Moores University. https