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data capability across an entire faculty then this is your opportunity. About the Role Reporting to the Head of Faculty Operations, you will provide sophisticated analytics, reporting, and modelling
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ways of working to support adoption. Facilitate co-design workshops and consultations to inform the development of the progression management framework and operating models. Deliver clear and timely
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that influences direction and decision-making. Drive business performance through insightful analysis, scenario modelling, and cost-benefit evaluations that support new initiatives and strategic imperatives. Lead
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electrophysiological, mechanical measurements such as vibrometry, and optical coherence tomography (OCT) experiments using animal models. The appointee will play a critical role in maintaining laboratory readiness
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systems, agentic AI, and passive device modelling. As a Research Fellow in AI/ML, you will be embedded in a diverse, multidisciplinary team and will play a key role in advancing research into large language
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science, especially with transformer models Jax, PyTorch, and/or Julia; with probabilistic programming languages; or with high-dimensional optimization and inference in physics contexts. Essential criteria
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matter expertise in analytics, with experience spanning data engineering, business intelligence, descriptive analytics, statistical analysis, and predictive modelling, ideally applied within a finance or
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programs to support progressive academic and professional skills development in line with models from leading universities around the world. Staff within the GRA will work in partnership with faculties
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collaboration with PMO colleagues and external suppliers Develop and critically evaluate financial planning and modelling for IT contracts, including benefits management and investment appraisal Review, identify
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negotiate to achieve desired outcomes. Desired Skills: Knowledge of the higher education sector. Knowledge of Finance services and processes. Project management (Prince2). Experience in Operating Model design