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are invited for the 2026 Research Fellowship awards. Up to four Research Fellowships will be awarded in this competition. Applicants should have submitted their PhD after 1 October 2024, or be on track
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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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degree in computer science or a cognate discipline, and have completed a PhD on AI/ML, ideally with a focus on safety or security of ML models. Experience of carrying out both independent and collaborative
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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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wavefunction calculations on high-performance computing clusters. You may also: Possess a PhD (or near completion) in Theoretical Quantum Chemistry or a related discipline. Have experience in developing and/or
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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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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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for success: A PhD awarded in a relevant discipline (e.g. law, social sciences, history, science and technology studies, empirical bioethics or other relevant fields engaging with qualitative research and law
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helping to write publications, present at conferences and regular team meetings Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline
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students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods as appropriate Undertake management