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entry and data validation techniques. Able to query and maintain computer databases. Must demonstrate a critical and intelligent attention to detail including high standards of accuracy. Ability to work
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in English and Mathematics grade C/4 minimum (or equivalent level 2 qualification). Experience of medical data entry and data validation techniques. Able to query and maintain computer databases. Must
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specific a focus on the applications of machine learning and artificial intelligence in higher education. Lead and oversee training and support provision to academic staff on the use of AI tools in
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based on sound evidence. Our Birmingham Professional programme operates across the University, supporting colleagues to network and collaborate, offering opportunities to learn and develop, contributing
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with information of a confidential nature. Aptitude for learning and applying new skills, and once trained have the ability to work independently to gather information or simply finding missing
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in statistics, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded
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(Microsoft) or AWS (Amazon Web Services). Knowledge of emerging educational technologies, with a specific focus on the applications of machine learning and artificial intelligence in higher education. Project
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) or AWS (Amazon Web Services). Knowledge of emerging educational technologies, with specific a focus on the applications of machine learning and artificial intelligence in higher education. Project
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the apprentice will learn: Deliver a high-quality service to all visitors at the Student Living Hub. Respond promptly and effectively to customer enquiries across all channels (in-person, email, telephone, and
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and kept up to date including maintaining records both paper and computer based as appropriate. Store, curate and back-up data to prevent data loss. Escalate problems that may affect the achievement