576 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" PhD positions in United Kingdom
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technology development. Why become a KTP Associate? The KTP programme is designed to accelerate your career, expand your skills, and grow your professional network. You will have the opportunity to: Work on a
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for Automated Language Teaching and Assessment (ALTA) is seeking to recruit a Research Associate or Assistant Research Professor to join their strong team of researchers in the Department of Computer Science and
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healthcare teaching and training, and in 2023 Swansea University opened a new Simulation and Immersive Learning Centre (SUSIM) for this purpose. The Department of Sport and Exercise Sciences have been
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architecture and ecology to advance research on green urban spaces. You will work with: Dr Renata Tubelo, Assistant Professor in Sustainable Architecture and Climate Literacy, Faculty of Engineering Dr Lorna
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information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. We are experts in systems science; we develop integrated solutions from care
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A fully funded PhD studentship is available for outstanding candidates to undertake cutting-edge research leading to a PhD in Chemical and Biomedical Engineering. The successful candidate(s) will
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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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studentship funded by the School of Life Sciences and Diamond Light Source, starting on 1st October 2026 This PhD project offers a unique opportunity to join a highly interdisciplinary team at the forefront
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(Mechanical Engineering at UCL) will also collaborate, he specialises in imaging of additive manufacturing and will support the project by assisting with the in-process monitoring. We expect that the PhD
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Computer Science or MSc in related field. Skills Knowledge of programming, Computer Vision, Machine Learning, or related discipline. Experience with Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow