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details form and uploading your CV and other relevant information. You must provide a covering letter detailing how your skills and experience equip you to fulfil the specific duties and responsibilities
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program grant, REFUEL-MS, which is developing and evaluating a tailored digital treatment to help individuals with multiple sclerosis effectively manage their fatigue. You will be involved in analysing data
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experiments, including developing pipelines for data analysis. They will be an integral part of the team comprised of the PI and PGR students, and will assist with the training and mentoring of the students
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Contract: Fixed-term (2 years) Join Us in Shaping a Healthier, More Sustainable Future Are you a passionate and driven researcher with a flair for data science and a commitment to tackling some of
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of participants, intervention fidelity monitoring, data collection (both quantitative and qualitative) and contribute to analysis, manuscript and report writing, presentations and dissemination generally. This is
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failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as "Please see attached CV" will not be considered acceptable. Please note
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Application process: For further information or an informal discussion prior to applying, please contact Professor Maggie Donovan-Hall at mh699@soton.ac.uk . Applications should include a covering letter and a
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applications. For further information visit the UK Visas and Immigration website . Applications are invited for a 3-year, full-time Postdoctoral Research Fellow position in the Department of Psychology at Royal
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consultation with policy makers. Responsibilities The Research Fellow will lead economic evaluation analysis, develop funding applications and contribute to data collection and management. They will liaise with
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funding for up to 36 months for the development of an externally funded intermediate clinician scientist research proposal including the generation of preliminary data. Drawing on the research strengths