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skeletal muscle metabolism and how exercise affects it. The post holder will be responsible for the day-to-day running of this programme of work as part of Prof Tsintzas’ research team in the Division
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computational and mathematical techniques to problems with global significance. Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied mathematics
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associated with large elements of work; leading/project managing a team to devise and implement a new and/or revised process (e.g. new programme or a recruitment drive); making a sustained contribution to
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programme of student facing communications and events using a range of channels, including email, social media, printed materials, digital screens and the University’s student facing app. Communications
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Adversarial machine learning - Identification and prevention of cyber-physical attacks on infrastructure (S3.5-MAC-Champneys)
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This programme draws on the expertise of academics within our Division of Urban Studies & Social Policy (USSP) and Centre for Public Policy (CPP). USSP is widely recognised as a world-leading centre
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Overall purpose: To work within the group of Dr William Schafer at the MRC Laboratory of Molecular Biology (LMB), within a programme aimed at mapping and analysing the structure of the hatchling octopus
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the efficient use of our physical resources, offering expert advice and recommendations to enhance space utilisation across the University. Key Responsibilities Lead the Building Services Team in delivering
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– Artificial Intelligence (CoI-AI) Programme, a pioneering initiative that integrates controlled human infection models, advanced microbiology and immunology, and AI-driven analytics to accelerate vaccine
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instance), working full-time for 37.5 hours per week, though where possible, part-time arrangements may be considered. About You With a background in materials science, physics, engineering, computer