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Associate: Applicants will possess a relevant PhD (or nearing completion) or possess an equivalent qualification/experience in a related field of study and be able to demonstrate sufficient knowledge in
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guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental
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will need good communication skills, and will be able to work with and disseminate information to both academic and non-academic audiences. You will have a PhD in medical or bio-informatics, epidemiology
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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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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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biobankers. For Grade 8, the candidate will have managerial responsibility to supervise researchers (e.g. post-docs, PhD students) and lead research projects/programs. This is a full time and you will be
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guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental
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(or equivalent) or a Masters degree in a social science or other relevant area Have or be about to obtain a PhD in a relevant subject. Experience: Specific, relevant research experience working on a project that
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wider community. 9. Contribute to the organisation, supervision, mentoring and training of undergraduate and/or postgraduate students as required and less experienced members of the project team to ensure
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of Masters Programmes and a substantial number of postgraduate research students. This is an exciting opportunity to join the Computational Biology Group headed by Professor Christine Orengo. The successful