624 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" PhD positions in United Kingdom
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science policy, science communication and beyond. Further information on the programme and instructions on how to apply, including a link to the application portal, can be found on our website https
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simulation runtimes. During the PhD programme, a student would be expected to explore and analyse the limitations of possible solutions for parallel simulation of massively multicore computers. During
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” programme (https://www.ed.ac.uk/studying/postgraduate/degrees/index.php?r=site/view&edition=2025&id=489 ) with a start date of 14 September 2026 (a starting date of 1 May 2026 can also be considered). In
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. During the PhD programme, a student would be expected to explore the design of advanced computer networks, both through simulation and the direct execution of workloads on real-world implementations. As
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@herts.ac.uk ), Dr Chinthani Karandeni Dewage (c.s.karandeni-dewage@herts.ac.uk ). Rothamsted Research: Prof Jon West (jon.west@rothamsted.ac.uk ), Dr Kevin King (evin.king@rothamsted.ac.uk ) ADAS UK Ltd: Dr
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activity support grants. Due to funding stipulations set by UKRI, we are able to recruit up to 30% of international applicants to the cohort each year. You can find further details at https://www.centre
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Research Assistant (with PhD Studentship) (Fixed Term): Genetic interrogation of the ubiquitin-proteasome system We are looking for a talented scientist to join the laboratory led by Dr. Richard
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Supervisor: Dr Rehmat Ullah , Internal Co-supervisor: Dr Husnain Sherazi , External Co-supervisor: Dr Ahmed MA Sayed Eligibility & How to Apply For more information on eligibility and how to apply please visit
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status rate at the School of Mechanical, Aerospace and Civil Engineering at the University of Sheffield under the supervision of Professor Pierre Ricco (http://www.pierre-ricco.co.uk/). Additionally
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reports to develop computational models that predict identification reliability. They will learn to design interpretable, legally robust AI systems, including attention-based deep learning models and