498 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "U.S" PhD positions in United Kingdom
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high 2:1 in computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and
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Skills you will gain Under supervision you will gain: Expert knowledge of centrifuge modelling challenges and solutions Advanced programming/data analysis skills How to effectively communicate complex and
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
are committed to fostering equity, diversity, and inclusion in our CDT program, and warmly encourage applications from students of all backgrounds, including those from underrepresented groups. We particularly
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air pollution and have been identified as an area for intervention in the latest Government Environmental Improvement Plan (www.gov.uk/government/publications/environmental-improvement-plan-2025
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equivalent) Good experience of programming. Funding Full funding for 3.5 years covering Home or International tuition fees Enhanced stipend (standard UKRI rate plus £3,500 totalling £25,305 tax free for 2026
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programming, would be beneficial. English language requirements: Applicants must meet the minimum English language requirements. Further details are available on the International website . Funding information
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, machine-learning schools, and participation in the AI for Science programme at RAL. Eligibility The position is open to all applicants, but funding is available only to UK/Home candidates. Applicants should
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computational approaches, and the art of data visualization in complex but meaningful ways. The student will become an expert in using programming languages like Python and R. We work closely with highly
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activities that will enhance performance in the role and future career prospects, including those within the Cardiff Researcher Programme. To keep a ‘learning log’ to facilitate critical reflection
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thinking, which they will apply in their domain-specific research in materials design, discovery and processing. By working with each other and benefiting from a tailored training programme they will become