689 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" PhD positions in United Kingdom
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of Nottingham, but should expect to engage fully with the 3-month full-time training programme in the Fusion Engineering CDT at the start of the course (October to December inclusive). CDT training will be
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for the candidate to have prior training in development studies, government, business or economics as any relevant training will be provided on the programme. Research Proposal The project area is broadly defined
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(or equivalent international qualification ) with a UK master's degree (with an average programme mark of no less than 65%) or international equivalent . Applicants must meet the minimum English language
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, and travel related to the project. Overview ReNU+ is a unique and ambitious programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and
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Application deadline: All year round Research theme: Applied Mathematics, Computational Metallurgy UK only This 3.5-year PhD project is fully funded and home students are eligible to apply
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Requirements Essential Criteria MSc (or equivalent) in a relevant discipline (e.g. Computer Science, Robotics, Architecture, or related fields). Knowledge or experience in robotics or architectural systems
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the UK’s net-zero and clean energy ambitions. The role sits at the interface of materials science, chemical engineering, and hydrogen energy. The post involves hands-on experimental research, including
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across sociology, anthropology, migration studies and science and technology studies (STS). There will also be opportunities to engage with comparative insights from the Netherlands and Sweden. Funding and
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are looking for an enthusiastic, self-motivated candidate with a 1st or high 2:1 degree in robotics, computer science, physics, mechanical engineering, electrical and electronic engineering or a related field
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would suit individuals with an interest in technology development and computational methods to be applied towards wildlife monitoring and conservation. The student will join two complementary research