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Field
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graduate ready to drive change in AI-powered system certification and governance. Through this PhD, students will master the intersection of AI, verification, and regulatory compliance, gaining a rare
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opportunities to conduct short social surveys or to focus more heavily on fieldwork rather than GIS mapping. There are opportunities to demonstrate original thought and initiative particularly in the field data
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requirements Essential requirements: Desirable requirements (but not essential) First class or upper second-class honours degree in computing, cybersecurity or a closely aligned discipline. Masters of science
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requirements Essential requirements: Desirable requirements (but not essential) First class or upper second-class honours degree in computing, cybersecurity or a closely aligned discipline. Masters of science
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closely aligned discipline. Masters of science level qualification in a relevant discipline Knowledge of AI Experience in working with key stakeholders in business and government Proficiency in programming
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integrated Masters, a BSc + MSc or a BSc with substantial research experience will be highly advantageous. Experience in organic/polymer synthesis and/or material analysis will also be beneficial. EU
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-leading labs across the globe. The PhD candidate must have a first or upper second-class Undergraduate honours degree or Masters in a discipline relevant to the project. While we expect that this project
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reduce primary care consultations during recovery from pneumonia, compared to standard of care alone; 3) To measure Quality of Life in a representative cohort of patients post-discharge – this will inform
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integrated Masters, a BSc + MSc or a BSc with substantial research experience will be highly advantageous. Experience in organic/polymer synthesis and/or material analysis will also be beneficial. EU
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Date: 27th June 2025 Sponsor: EPSRC Supervisors: Dr Matthew Fisher (main supervisor) Professor Chris Oates (co-supervisor) Eligibility Criteria A minimum 2:1 Honours degree or international equivalent