516 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "CNRS" 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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. This post forms part of an international multi-site programme with the title: Sociology of Authoritarian Law: Insights from Central Asia (SOCIAL), which is based at the University of Lund. It is funded under
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. This post forms part of an international multi-site programme with the title: Sociology of Authoritarian Law: Insights from Central Asia (SOCIAL), which is based at the University of Lund. It is funded under
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) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply Please read and complete this document as your Personal statement, and upload this with your application
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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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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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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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, 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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background or strong interest in machine learning, graph theory, and their mathematical foundations. Solid programming skills Experience with machine learning libraries or willingness to acquire Excellent