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the RAI UK programme. To be successful you will have: PhD in a field related to one of the following: Deep learning, Explainable AI, Causal reasoning. A strong publication record in AI venues (NeurIPS
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inclusive academic community. Opportunities for professional development and career growth, e.g., mentorship of PhD students, development of funding applications, involvement in teaching activities
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to write research papers for publication in high impact research journals and attend/present at relevant conferences. There will be an opportunity to supervisor PhD and Master students as a secondary
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who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being
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PhD or equivalent experience in an area related to computational systems, either in theoretical or applied engineering. Due to the open ended nature of the research we do not require any specific
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understand the molecular mechanisms of cone photoreceptor death in retinitis pigmentosa. The post will be funded until 30/04/2027 in the first instance. Candidates should have a PhD (or about to be awarded) in
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; https://www.southampton.ac.uk/research/institutes-centres/centre-for-cancer-immunology Applications will be considered from candidates who are working towards or nearing completion of a relevant PhD
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PhD or equivalent professional qualifications and experience in public health, epidemiology or another relevant discipline. You will have demonstrated experience of analysing cross sectional and cohort
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. Contribute to the planning and organising of the research programme and project data. Selection criteria Hold, or be close to completion of a relevant PhD*/DPhil, together with experience or interest in
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. Opportunities for professional development and career growth, e.g., mentorship of PhD students, development of funding applications, involvement in teaching activities. We are seeking candidates with: A Ph.D