515 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "Caltech" PhD scholarships in United Kingdom
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theoretical work. As part of the program, you will complete a six-month placement at the Jungbunzlauer site in Germany, where you will: Collaborate with experienced industrial scientists and process engineers
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two-page research proposal based on the project description outlining how you would approach the project and what methods you would use. Under programme name, please select 'Architecture, Building and
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two-page research proposal based on the project description outlining how you would approach the project and what methods you would use. Under programme name, please select 'Architecture, Building and
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enrolment to the PhD programme agreed by both Universities. The studentship will be hosted at Swansea University given the location of the SUSIM Centre. Whilst time at the University of Canberra is not
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Applications for 2026-2027 entry to the Wheeler History of Travel Writing studentship are now open. The programme seeks to attract talented researchers whose projects may focus on any period or
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of 5.5 in all sub-skills. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How
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opportunity to network and work directly with them as part of you PhD programme. Number of awards: 1 Start date: September 2026 Award duration: 3.5 years Sponsor: ESRC JUST Supervisors The core supervision team
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to decentralized systems, AI, cyber security, cryptography, or mathematics. Outstanding candidates with a Bachelor’s degree from a four-year undergraduate program are also encouraged to apply. Paper publication is
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. The candidate should have a good 2.1 Bachelors, or Masters degree in Electronic Engineering, Computer Sciences or equivalent. Experience in communications and networking, AI, or robotics is desirable but not
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The rapid growth of deep learning has come at an extraordinary environmental and computational cost, yet the standard training paradigm remains remarkably unchanged. Every sample is passed through