576 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"CUBO" PhD positions in United Kingdom
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April 2026 (5pm GMT) Outcomes notified: Mid-May 2026 Applicants must apply both for the studentship and for the CMCI PhD programme at King’s College London, quoting the funding code 2627AHCDA. Funding
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and further details about the programme, supervisors and timetable. Closing date for applications: Friday 6th March 2026 Interviews will be held for shortlisted candidates in late April 2026.
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to close-to-magnet particle doses. The stability of a given austenite grain is governed by local microstructural parameters such as the local chemistry, grain size, orientation, the surrounding microstructure
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ideally a PhD or additional relevant experience of working in parasitology or molecular biology laboratories, pathogen genomics research groups, or other relevant areas. The post is full time (35 hours per
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Discipline: Engineering & Technology, Materials Science, Mechanical Engineering Qualification: Doctor of Philosophy in Engineering (PhD) This project is a collaborative research effort between
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wide range of social science methods. Key commercial sectors include (but are not limited to) data centres and high-tech industries, as well as food and beverage production. This project is a
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, world-class training across materials science and chemical processing. You will gain hands-on experience with state-of-the-art facilities, including Inductively Coupled Plasma Optical Emission
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student with relevant qualitative research experience and a meaningful interest in the research topic. The appointed student may have a background in the social sciences, nutrition, public health or other
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practice, and organisational culture. More broadly, it will contribute to debates on multi-agency relationships and the growing role of technology in criminal justice. A 3-month Research in Practice
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Supervisors: Professor Victoria Cornelius, Dr Hadith Rastad, Dr Tim Rawson About the role Sequential Multiple Assignment Randomised Trials (SMARTs) are increasingly used to evaluate multistage treatment strategies that adapt to patient response. They are now common in mental health, substance...