695 computer-science-intern "https:" "https:" "https:" "https:" "U.S" PhD positions in United Kingdom
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degree with honours (or equivalent) in Engineering, Physics, Mathematics, or Materials Science • Excellent English written and spoken communication skills • Foundations in Continuum Mechanics and
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This exciting opportunity is based within the Power Electronics and Machines Control Research Institute at Faculty of Engineering which conducts cutting edge research into power electronics
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practice and community responses. The PhD student will be supervised by the project’s principal investigator, Professor Yafa Shanneik. Requirements A Master’s degree in Social Policy, Political Science, Law
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in the UK, uptake of the NHS Diabetes Prevention Programme (NDPP) remains low. Approximately 11% of UK adults now live with type 2 diabetes, contributing substantially to primary care workload and
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techniques e.g. laser and optical instrumentation; computational/numerical modelling programming skills e.g. Python, C++. Eligibility Open to both UK and International applicants, including EU applicants. How
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through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing
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This exciting opportunity is based within the Advanced Materials Research Group at Faculty of Engineering which conducts cutting edge research into high value product extraction from UK seaweeds
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award and action plan, we are members of the Women’s Engineering Society (WES) and Working Families, and sponsors of International Women in Engineering Day. We are also Disability Confident Level 1
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at the Chemistry/Materials interface. 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
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or computer science is desirable but not required. An interest in interdisciplinary communication and engagement as well as an understanding of how AI is currently deployed in science is welcomed but not essential.