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Risk Committee Remit and Membership can be located here for information. Skills and Experience We are particularly interested in candidates with strong experience in the following: Accountancy / Finance
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research. This role will strengthen the university’s capabilities in AI, machine learning, and data science, with applications aligned to one of our priority research areas: Health and Life Sciences; Defence
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. This will provide uniquely high-resolution ground-truth data on particle and flow behaviour within RAM systems, supporting validation of CFD and multiphysics simulations and, where appropriate, training of AI
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responsibilities for this role include providing colleagues and stakeholders with information relating to finance and budgets; communications and marketing; making travel, accommodation and room bookings, and
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annum. The role will also drive continuous improvement through data-led reporting, business cases and options appraisals, while supporting the development of colleagues and strengthening procurement
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in conjunction with Prof Tucker, performing experiments, analysing data and mouse colony management. It is expected that the researcher would: Work to an appropriate level of health and safety and
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-lab role focuses on the computational analysis and methodological development of third-generation and single-cell sequencing data to understand the role of transposable elements (TEs) in early mammalian
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the genetic, molecular and histology work carried out in the Tucker laboratory. Research will include gathering data on JE cellular lineage and validation of spatial transcriptomics. Techniques will
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the chance to shape best‑practice approaches from the outset, this role offers an opportunity to make a lasting impact on a large, diverse organisation. About the Team As part of the Information Security team
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. Further information about the University can be found here . Find out more about the benefits of working at the University and what it is like to live and work in the Durham area on our Why Join Us