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analysis and machine learning and experience in the analysis of diverse data types (clinical, genetic, imaging, digital, blood biomarker). Cultural and language competency and/or experience working with one
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the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/ ) About the project/work tasks: This position is part of: 19 PhD Fellowships available in Digital Endocrinology in the Marie
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will close at 12:01 a.m. CT on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You
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programme Reference Number AE2025-0594 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0594
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academic staff and over 1500 students. The department has extensive physical and digital facilities that support teaching and research across all our discipline areas. The department is in a period of
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levels. Contributing to the development of computer platforms that support the prevention, diagnosis and management of endocrine disease (endocrine digital twins), Participants will collaborate closely
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editing, and web development applications Create original artwork for the Public Lectures series’ collateral pieces, including posters and digital images for social media Establish brand/graphic standards
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, and infection control and safety protocols, taking x-rays using digital imaging and uploading x-rays and other patient related data into axium, pouring and trimming dental impressions, ordering and
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will integrate real-time or periodic measurements from various cell culture assays (e.g., metabolic, imaging, 'omics data) to create predictive, digital twins of the bioreactor system. 2) Problem Solving
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progression modelling and AI, that sits within the UCL Hawkes Institute — a leading hub of medical image computing and interventional science involving well over 100 scientists and academics. About the role