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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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particular emphasis on preparing analysis-ready datasets that support downstream statistical and machine learning workflows. You will work closely with Dr Cynthia Sandor within a collaborative and
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skills
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application of AI and machine learning models to interpret complex X-ray datasets, and the integration of experimental and computational insights to generate actionable knowledge that advances sustainable metal
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-driven AI models that capture the underlying process–structure–property relationships governing metal additive manufacturing. By combining mechanistic modelling, in-situ sensing, and machine learning
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and research grants (appropriate to career stage) Expertise in advanced quantitative and/or qualitative research methods, including AI or machine-learning based approaches. Ability to design, deliver
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students, staff, and community by reinforcing our Safer Recruitment commitment. We're very proud to be a signatory of the Armed Forces Covenant . an accredited Disability Confident Leader ; autism friendly
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interdisciplinary research has synergies with many of the department's research priorities, including exoplanet studies, machine learning, cutting-edge radio instrumentation and digital signal processing, citizen