580 assistant-professor-computer-science-data-"https:"-"https:"-"https:" PhD positions in United Kingdom
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of real-time adaptive 3D inspection, dynamically adjusting its measurement strategy based on data quality as well as environmental and scene cues. Positioned at the intersection of robotics, computer vision
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reduces crack propagation in composites, reduce failure due to delamination and significantly improves fracture toughness [Williams et al, Journal of Materials Science 48, 3, 1005-1013, 2013]. In addition
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manufacturing sectors, from SMEs to large global manufacturers. For details, visit the MTC website . Entry requirements: A 1st or high 2:1 degree in computer science, manufacturing/industrial engineering, data
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biotechnology. The studentship is delivered in collaboration with the UK Defence Science and Technology Laboratory (Dstl) and will include a research placement at Dstl, providing unique experience in applying
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and determination? We are currently seeking a/an University assistant predoctoral - PhD Position in Graph Learning 39 Faculty of Computer Science Startdate: 01.05.2026 | Working hours: 30 | Collective
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Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8100F select ‘PhD Chemistry (full time)' as the programme of study You will then need to provide
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: Electrical and Electronic Engineering · select ‘PhD Electrical and Electronic Engineering (full time)’ as the programme of study You will then need to provide the following information in the ‘Further
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
such as on-chip optical routing, flexible optoelectronics, light emission, optical sensing and quantum communications. This is an ambitious research program, with a strong interdisciplinary nature, across
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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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? Projects may involve posthuman art practices, speculative design, critical data studies, generative AI, and ethical innovation, with opportunities to explore interdisciplinary links to computer science, law