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Planning and is part of a supportive, flexible team at the heart of the University. Our team has a broad base of expertise, spanning everything from data engineering and data governance through to analytics
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work with the relevant PIs to develop a range of KPIs on goal setting and ongoing performance management of the engineering team, ensuring effective delivery across multiple projects. 4. Lead on
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Job Purpose To undertake research that is internationally recognised/excellent and contribute to knowledge exchange/impact activities in Technology/Innovation Management; contribute to learning and
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proactively to ensure smooth and effective delivery of technical skills teaching. 7. Keep up to date with advancements in technology and methodology, continually updating technical knowledge. 8. Providing
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the accuracy and integrity of student records and student case history, ensuring the application of appropriate technology and compliance with regulatory and university policies for managing personal and
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Basic AVIT skills to support Technology Enabled Active Learning (TEAL) teaching across the cluster. Experience Essential: E1 Experience of delivering customer service face to face and digitally or by
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Mathematics, Physics, Computational Engineering or a related discipline, or alternatively possess the equivalent in professional qualifications and experience, with experience of personal development in a
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, their applications, and the healthcare industry's regulatory landscape. F2 Experience of delivering digital health technology evaluations working with academic, regulatory and clinical experts F3 Experience
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activity e.g. drug discovery or development company (including CRO life science investment, technology transfer office with life science focus). A2 Knowledge of intellectual property (specifically working
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, including the application of technology and business systems; E5 Experience of interpreting highly complex information to provide effective ‘good practice’ solutions to achieve results. E6 Significant