4,132 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"SUNY" positions in United Kingdom
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that will inform teaching, and actively support recruitment and outreach activities, such as open day and school liaison events. You will teach across our suite of biological science degrees, focusing
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contribute to the development of robust, reproducible machine learning workflows. The role forms part of a nationally significant research programme with strong policy relevance, working in collaboration with
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following: Strong programming skills (preferably in Python), with experience in machine learning/AI or software engineering for interactive systems Desirable experience in game development or design using
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undergraduate and/or postgraduate taught levels in Higher Education. This should be beyond the level of teaching assistant roles. You will offer innovative, inclusive learning and assessment approaches for in
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diploma, or significant professional experience across varied pharmacy settings. Experience in pharmacy education at undergraduate and/or postgraduate level, with a track record of facilitating learning and
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operational leadership for the National Institute for Health and Care Research (NIHR) and Orthopaedics Research UK (ORUK) funded project RMD-Health: developing and validating a machine-learning–enabled decision
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, or research assistant job) - Solid experience in machine learning and AI (essential) - Experience with imaging data analysis - A collaborative approach to doing science and willingness to help other lab members
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with experts to automate diagnostic assays, leading to cost-effective, easy to use tests Work closely with AMR, Informatic and Machine Learning colleagues ensure the tests provide accurate pathogen ID
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that integrate multi-omics data to uncover mechanisms of disease, cellular resilience, and therapeutic response. The post holder will lead research applying large-scale machine learning and foundation models
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foundation in either machine learning or mathematical/computational neuroscience, demonstrable programming experience (Python/PyTorch), and the curiosity to work across disciplinary boundaries. A background in