657 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "Dr" PhD positions in United Kingdom
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September 2026 or January 2027. The WLS PhD programme is set within a vibrant and supportive research environment in the heart of Central London. The School is home to several research centres and groups: We
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provided with all necessary resources to do their research, including a laptop, access to our local distributed computing facilities, a dedicated training programme, and a supervisory team. Most students
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. Real-world application will include designing and evaluating a spatial training programme for engineering students. Uniquely, across all studies you will examine how individual differences moderate
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of Physics, University of Oxford. The research will focus primarily on the development of 2D spin computing devices. All applications must be made through the central University of Oxford graduate admissions
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We are looking for a highly motivated candidate to pursue a PhD programme titled "CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition." This research
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visit: https://www.brunel.ac.uk/about/our-history/home We are seeking to appoint a Research Assistant who will work on the ELOQUENCE European project which aims to study Large Language models in
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policy-relevant research. The student will be supported by an experienced and interdisciplinary supervisory team: Dr Julia Gauly, Dr Marco Bardus, Professor Victoria Goodyear, and Dr Lisa McNally. We
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transcripts. These should be submitted via email to Dr Taresco and through the University of Nottingham’s online application system (https://www.nottingham.ac.uk/pgstudy/how-to-apply/apply-online.aspx
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the programme of research. The minimum entry requirement is a first-class or upper second-class UK honours degree or equivalent qualification in psychology, nutrition science or related discipline. A Master’s
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behavioural experimental design and statistical modelling; computer vision and AI techniques; explainable AI and human–machine comparison methods; and responsible innovation. The student will work closely with