743 phd-computational-intelligence-"University-of-Exeter" Fellowship positions in United Kingdom
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Applications are invited for this PhD training programme to commence in September 2026. Led by the London School of Hygiene & Tropical Medicine, this PhD Programme is offered by five UK and six
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have a PhD or be a PhD candidate who has already submitted your thesis prior to starting the position, with a research track record on artificial intelligence, data science and computational social
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Scientists Please note that candidates can apply to this PhD Programme on a maximum of 3 occasions. Candidates must select two of the advertised projects in order of preference. Candidates MUST contact
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training programme or within 4 years full-time equivalent of completing their training programme are eligible to apply. Clinical work during the PhD will be limited to one day per week. Doctors and dentists
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available immediately on a fixed-term basis to 28 February 2029. The successful applicant will be based in the Data Coordination Centre (DCC) at the University of Exeter. About you The successful applicant
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Cormier and Woll). This is a fixed term contract up to Sept 2026. About you The successful applicant should have a PhD in a related area with a strong track record of publishing high quality research
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30 Aug 2025 Job Information Organisation/Company UNIVERSITY OF SURREY Research Field Computer science Researcher Profile First Stage Researcher (R1) Country United Kingdom Application Deadline 4 Sep
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PhD in Mechanical Engineering, Aerospace Engineering, Civil Engineering, Biomedical Engineering, Mathematics, Physics, Computational Mechanics/Engineering or related discipline. (Thesis submitted by
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About the role - The candidate will focus on Gage Repeatability & Reproducibility (Gage R&R) validation of a new video scope inspection system for turbine blade assessment. The objective is to ensure the reliability and accuracy of the measurement system before its full implementation in...
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About the role - The candidate will focus on Gage Repeatability & Reproducibility (Gage R&R) validation of a new video scope inspection system for turbine blade assessment. The objective is to ensure the reliability and accuracy of the measurement system before its full implementation in...