696 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" PhD positions in United Kingdom
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the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme’ at the University of Essex. Only UK domiciled applicants who meet the following criteria may apply: Not already have a Master’s degree from the
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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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. This interdisciplinary PhD is ideal for candidates with a background in chemical engineering, physics, soft matter science, computational chemistry, and/or related disciplines. Early applications are encouraged, as the
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modelling in a collaborative research environment. Applicants should have (or expect to obtain by the start date) at least a good 2.1 degree in Engineering or a related discipline, and a strong interest in
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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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(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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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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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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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