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apprentices comply with funding regulations. This involves liaising with academic and professional services colleagues, apprentices and their employers to support the quality assurance of these programmes
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colleagues to learn about their teaching methods and patterns, working with academics to plan the timetables for the courses and collect accurate information to enter into the timetabling system, working
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computational and machine learning approaches to integrate Oxford Nanopore (ONT) long-read data with bulk and single-cell RNA-seq profiles. The aim is to identify host-microbiome molecular signatures that drive
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for the University’s programmes of study, academic standards, teaching quality and student outcomes, the role will drive forward innovation in teaching and learning, champion student success and employability, ensure
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interventions that support recruitment and raise the profile of academic programmes. ● Collaboration and influence - excellent communication skills, working with colleagues at all levels, offering advice
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About the Role We are seeking a highly motivated and skilled part time (0.75 fte) Research Assistant to join the Oxford School of Nursing and Midwifery. This is an exciting opportunity to contribute to an evaluation of how user-friendly and acceptable an AI-powered dashboard is among registered...
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across the University’s undergraduate and postgraduate courses. The team’s activities range from an extensive programme of school and college engagement, through to large-scale events both on-campus and