689 computer-science-intern "https:" "https:" "https:" "https:" "DESY" PhD positions in United Kingdom
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at the interface of materials science and power electronics. Applicants should hold, or expect to achieve, at least a 2:1 degree (or international equivalent) in a relevant subject (e.g., Materials Science
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Applications are invited for a 3-year PhD position in the School of Psychology, supervised by Dr Charlotte Rae. This post is funded by an EU Horizon grant as part of an international team studying
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Society (WES) and Working Families, and sponsors of International Women in Engineering Day. We are also Disability Confident Level 1 Employers and members of the Business Disability Forum and Stonewall
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and modelling methods. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. To
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Technology Approval Scheme ) 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
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of the candidate Essential requirements: A 1st class or 2.1 degree (or equivalent) in Environmental Science, Remote Sensing, Computer Science, Surveying Engineering, or related field Strong coding skills (Python
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) at the Rutherford Appleton Laboratory (RAL) in Didcot. This is an exceptional opportunity to work at the interface of artificial intelligence, computational imaging, and life sciences, supported by the Ada Lovelace
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or computational frameworks, developed in collaboration with partners with modelling expertise. This PhD offers the opportunity to work at the interface of plant physiology, root biology, imaging and quantitative
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from dairy housing environments, linking acoustic patterns to behavioural and health indicators, and developing computational models capable of detecting meaningful welfare-related signals. The project
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) programme. The post holder will work closely with Professor Ronita Bardhan and contribute to a high-impact, interdisciplinary research programme focused on advancing evidence-based urban design for population