273 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" positions at University of Sheffield
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(pro-rata) Work arrangement Part-time Duration 01/02/2026 - 30/09/2026 (flexible upon discussion with successful candidate) Line manager Principal Investigator Direct reports None Our website https
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friendly and active research environment with several weekly seminar and journal club events. Funding Notes This project is for Self-funded students or students with external funding. References https
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Overview We are seeking a dedicated and enthusiastic Research Associate to join our sexual rights and ageing programme of research. The current project, supported by the NIHR School for Social Care
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Research Determine research objectives, and initiate and implement a programme of research that enhances the international standing of the School. Identify appropriate sources of funding and prepare research
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Overview An exciting opportunity has arisen for a highly motivated clinical trainee with a background in data science, to join our Motor Neurone Disease/Neurodegeneration clinical research programme
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here . Main duties and responsibilities Research Determine research objectives, and initiate and implement a programme of research that enhances the international standing of the School. Identify
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Research Determine research objectives, and initiate and implement a programme of research that enhances the international standing of the School. Identify appropriate sources of funding and prepare research
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implement a programme of research that enhances the international standing of the School. Identify appropriate sources of funding and prepare research proposals for funding bodies. Conduct and disseminate
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Research Determine research objectives, and initiate and implement a programme of research that enhances the international standing of the School. Identify appropriate sources of funding and prepare research
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subject such as a BSc in Psychology, Computer Science, Data Science, Health Informatics, or another health-related field (assessed at application). Experience of working with large, complex multi-variable