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, University of Manchester Employment type: Fixed Term Division/Team: Division of Psychology and Mental Health Hours Per Week: 1 FTE Closing date: 17/04/2024 Contract Duration: 45 Months School/Directorate
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Dame Kathleen Ollerenshaw (DKO) Fellowship (University of Manchester at Harwell) (2 Posts Available)
education. In addition, we are a Disability Confident Employer, guaranteeing an interview for any disabled applicant who meets the minimum requirements for a job. The University of Manchester The University
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ECS in collaboration with teams at the University of Cambridge, University of Manchester, Turing Institute, and HMGCC. You will develop new low-power systems and ML algorithms to significantly extend
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” project’s ambitious objectives. You will work with Dr Jagmohan Chauhan and Dr Alex Weddell in ECS in collaboration with teams at the University of Cambridge, University of Manchester, Turing Institute, and
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the Policy Research Unit in Health and Care Systems and Commissioning, based at the University of Manchester. Working the wider project team, the postholder will design the survey, organise the data
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Job Overview: We are seeking a highly motivated and skilled Postdoctoral Researcher to join our dynamic research team focused on investigating electron transport phenomena in twisted moiré
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of researchers from LSHTM, University of Oxford, University of Manchester, UK Health Security Agency and the University of Nottingham. The team is jointly led by Professor Nicholas Mays and Dr Rebecca Glover
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experienced, multi-disciplinary team of researchers from LSHTM, University of Oxford, University of Manchester, UK Health Security Agency and the University of Nottingham. The team is jointly led by Professor
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, University of Manchester, Turing Institute, and HMGCC. You will develop new low-power systems and ML algorithms to significantly extend the capabilities of onboard AI when used in small satellites for earth
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ECS in collaboration with teams at the University of Cambridge, University of Manchester, Turing Institute, and HMGCC. You will develop new low-power systems and ML algorithms to significantly extend