566 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"U.S" PhD positions in United Kingdom
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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Robotic-assisted surgery is rapidly expanding in the UK, with over 100,000 procedures performed in 2024 alone. Emerging 5G and future 6G networks are making remote surgery increasingly feasible, allowing surgeons to operate on patients from different locations. However, communication delay...
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sampled. This PhD study will address this research challenge. Cranfield is the largest academic centre for postgraduate studies in Science and Technology in the UK. Focused on developing applied research to
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based in the Department of Informatics within the Faculty of Natural, Mathematical & Engineering Sciences (NMES), an internationally recognised centre for research in robotics, artificial intelligence
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. Qualifications and skills required Applicants must have a 1st or good 2:1 degree, preferably in a related social science discipline, and must hold a relevant master’s degree, that included a dissertation module
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of Nottingham, but should expect to engage fully with the 3-month full-time training programme in the Fusion Engineering CDT at the start of the course (October to December inclusive). CDT training will be
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This 3-year full-time funded PhD opportunity in partnership between Department of Life Sciences at Manchester Metropolitan University and Liverpool Heart and Chest Hospital . This project provides
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opportunity to join the Emerging Technology and Materials research group within the School of Mathematics, Statistics and Physics. You will carry out research as part of a team of researchers working
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international interest due to their compatibility with superconductors and topological phases, and their potential for highly scalable, low-energy spintronic devices. While recent studies have demonstrated
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motivated and ambitious PhD candidate skilled in genetic epidemiology, biostatistics, mathematics computational biology or related discipline to contribute to the “Hereditary & Early onset breast cancer