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postholder will be Director of the CDT programme, until September 2033 in the first instance, as this is the period for which funding from the Ellison Institute of Technology is confirmed. The successful
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and Delivery of Healthcare’ (PI Prof M Bhutta, Brighton and Sussex Medical School, University of Sussex). The vision is to create a world-leading hub to support the NHS to become a low carbon provider
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postholder will be Director of the CDT programme, until September 2033 in the first instance, as this is the period for which funding from the Ellison Institute of Technology is confirmed. The successful
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Position Details School of Computer Science Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,130 to £45,413 with potential
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Are you an atmospheric scientist looking to apply your expertise to real-world forecasting challenges in Africa? Machine-learning has the potential to revolutionise weather prediction in Africa, and we are seeking a scientist who understands and enjoys challenges in atmospheric and climate...
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opportunity to join a multidisciplinary team of researchers, clinicians, and patient partners on a 5-year collaborative research programme funded by a Wellcome Mental Health Award, ‘When your body betrays you
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the Faculty to build their computational skills. As Senior Bioinformatician, you will be responsible for maintaining reproducible, scalable workflows and for liaising with wet-lab scientists, statisticians and
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queries, please contact: Professor Simon Hall – email: simon.hall@bristol.ac.uk We recently launched our strategy to 2030 tying together our mission, vision and values. The University of Bristol aims to be
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to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or specific research project Co-ordinate own work with others to avoid conflict
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the Department of Inflammation and Ageing at the University of Birmingham. The successful candidate will work to deliver high level computational analysis of immune cell subsets in patients with cutaneous lupus