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learning and student outcomes, while using digital tools and data systems to track impact and inform improvements. You will contribute to an innovative, accessible careers service that equips all students
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motivated individual with a proven track record of success in delivering TNE projects within a higher education setting. You will be confident in working to tight deadlines and you'll have the ability
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relevant PhD and medical degree alongside registration with the GMC at Specialist Registrar Garde or below. You will have a recent track record in histopathology and use of machine learning techniques, and
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epidemiology and have a strong track record of collaboration and attracting grant funding, excellent publication record, experience in conducting interdisciplinary research in diverse settings, committed
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closely with employers and industry partners to enhance work-based learning and student outcomes, while using digital tools and data systems to track impact and inform improvements. You will contribute
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the Department/School and the successful candidate will have a track record of (or demonstrate potential for) impactful world-leading or internationally excellent research. Evidence of developing funding
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management, issue and change management, benefits management, dependency management, financial tracking, planning, reporting and governance as required. Proven PMO analyst experience is essential, and
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For this role you will have a BSc or equivalent in a relevant biological science arena alongside a track record of working in a biomedical research laboratory. You will have appropriate knowledge
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in a relevant field and an enviable track record in spatial transcriptomic techniques and analysis. With a wide range of knowledge and experience in cancer biology you will also be able to demonstrate
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have a PhD and track record in either computer science with specialisation in relevant AI technologies for surrogate modelling, or in Earth or Environmental Science with a strong track record in