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collaborative research environment that exemplifies IDAI's distinct approach to interdisciplinary data science and AI research. Person Specification PhD (or near completion) in Computer Science, Data Science, AI
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record, and leadership. A PhD in a health-related discipline is essential; a PhD in Psychology would be an advantage, and understanding of qualitative approaches will be useful. You will have excellent
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diversity, acting as a role model and contributing to an inclusive culture Person Specification First degree and normally a higher degree (e.g., MSc, PhD or near to completion) in a relevant field such as
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), or for application process queries Ruikang Xue (ruikang.xue@ucl.ac.uk). About you The successful candidate will have a PhD qualification, extensive knowledge and expertise in additive manufacturing, surface and bulk
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. You will be routed to this when you click on the 'Apply' button. PhD degree in a relevant subject, such as chemistry, materials science or engineering. If you are near submission or have recently
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relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given
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-rich environment alongside an experienced and collaborative team at the forefront of medical genetics. Your skills and attributes for success: A PhD with a strong quantitative component, particularly
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partners both in the UK and internationally, joining a supportive group of researchers within the wider research group, the School, and across the University of Southampton. To succeed, you will need a PhD
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academic roles, should they arise, at Durham or elsewhere. Successful applicants are normally expected to be within 8 years of completing their PhD, although career breaks for parental leave and/or health
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obtained or are within 6 months of submission of their PhD. Evidence of implementing Virtual Reality interventions in a statutory health and social care setting. Experience and knowledge of mixed methods