846 phd-computer-science-"IMPRS-ML"-"IMPRS-ML" Fellowship positions in United Kingdom
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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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a PhD in Computational Biology, Applied Mathematics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer Science, Neurological Genetics or a closely related discipline. Excellent oral
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. Person Specification PhD (or near to completion or equivalent experience) in a relevant field, including statistics, mathematics, computer science, epidemiology. Strong mathematical and quantitative skills
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2-Year Postdoctoral Position in Frontiers of Ocean and Planetary Science University of Southampton (Schools of Ocean & Earth Science / Physics & Astronomy) Start Date: Early 2026 (flexible
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28 Aug 2025 Job Information Organisation/Company UNIVERSITY OF SURREY Research Field Engineering Environmental science Geosciences Researcher Profile First Stage Researcher (R1) Country
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21 Aug 2025 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Psychological sciences Researcher Profile First Stage Researcher (R1) Country United Kingdom Application
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Position Details School of Chemistry, College of Engineering and Physical Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range
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University of Hull. The successful candidate should have: PhD degree (or close to completion) in materials science and engineering, manufacturing or other suitable engineering disciplines. Research experience
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The University of Warwick, in collaboration with the Belgrade Theatre, Coventry , invites applications for a fully funded 3.5-year PhD studentship to explore co-creation in civic theatre
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2-Year Postdoctoral Position in Frontiers of Ocean and Planetary Science University of Southampton (Schools of Ocean & Earth Science / Physics & Astronomy) Start Date: Early 2026 (flexible