547 computer-science-intern-"https:"-"https:"-"https:"-"https:" PhD positions in United Kingdom
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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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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.
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This exciting opportunity is based within the Power Electronics and Machines Centre (PEMC) Research Group at Faculty of Engineering which conducts cutting edge research into enabling technologies
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of Man & Channel Isles) tuition fees plus a yearly stipend. For 2025/6 this equates to £18,622 per year, with potential increases each academic year. International applicants would need to be able to fund
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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 apply, please contact the main supervisor
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Engineering PhD programme page. In place of a research proposal, you should upload a document stating the title of the project that you wish to apply for and the name of the relevant supervisor. Funding Fully
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, chemical, biological or computational science, an interest in theoretical modelling and curiosity about engineering complex biological and biochemical systems. The opportunity to study for a PhD at a world
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Eligibility criteria You must have, at least a 2:1 honours degree or international equivalent, in a subject relating to neuroscience or neural engineering. Further qualifications such as an MRes is advantageous
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our industrial collaborators and will have the opportunity to spend time on site with them. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international
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progress from fundamental surface science to the fabrication of intelligent, multiplexed sensor arrays, enabling fast and reliable cardiovascular health monitoring. This exciting 3-year PhD will be conducted