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shifts, proposing and undertaking new experiments, carrying out the corresponding data analysis and reporting the findings to the Accelerator Physics and Machine Development meetings. Applicants should
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criteria. Please provide one or more paragraphs addressing each criterion. The supporting statement is an essential part of the selection process and thus a failure to provide this information will mean that
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, however all appointments are made strictly on individual merit. As a Disability Confident employer we welcome applications from those who identify as having a disability. Further information If you would
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pension schemes). Further Information The position is funded until September 2027 as a full-time-equivalent post expected to start by March 2026. If you require any further details on the role please
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collaboration abilities. Desirable experience & skills Experience in mental health or public sector innovation. Familiarity with research ethics and data governance in health settings. For further details
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our multidisciplinary team working at the interface of epidemiology, data science, and public health policy. The successful candidate will develop and apply advanced mathematical and computational
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with outcomes of interest being detected by linkage to central NHS records and other healthcare data. Working within an established research team, you will carry out research, which is both
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each year. Please check role profile for further information. For informal inquiries, please contact David Bates - david.bates@nottingham.ac.uk . Please note that applications sent directly to this e
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role where Welsh skills are essential are expected to present their application in Welsh and will be interviewed in Welsh, if shortlisted. Additional Information Applications for this role will take the
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of Singapore’s maritime sector. The project focuses on developing planning methods to support the electrification of harbour craft fleets, using real-world operational data to derive charging demand profiles and