604 computer-programmer-"https:"-"CNR" "https:" "https:" "https:" "https:" "Brunel University London" PhD positions in United Kingdom
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and postgraduate studies. Any scholarly publications. Project plan (1500 max excluding reference). The successful applicant will benefit from: A funded three-year PhD studentship, covering tuition and
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Research Assistant to investigate digital reading comprehension through large-scale data analysis. This role, funded by the John Fell Fund, sits at the fascinating intersection of computational
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PhD programmes and looking for hands-on research experience on high-impact questions in energy and environmental economics. Key Responsibilities for the role include: Data collection, cleaning, and
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Higher Education institutions focused on the land-based and food supply chain sector. With around 2,800 undergraduate students, plus those completing postgraduate, research and CPD programmes, Harper Adams
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There is growing UK and international interest in networked sensing and autonomous collaborative platforms, where multiple airborne sensors co-operate to collect and exploit data. In contrast to single-platform radar systems, distributed Synthetic Aperture Radar (SAR) architectures offer...
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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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or computer science is desirable but not required. An interest in interdisciplinary communication and engagement as well as an understanding of how AI is currently deployed in science is welcomed but not essential.
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. The integration of AI into hardware not only enhances performance but also reduces energy consumption, addressing the growing demand for sustainable and efficient computing solutions. This PhD project delves
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Description: Human-wildlife conflict is widespread, yet current monitoring systems aiming at their reduction remain costly, vulnerable, and difficult to scale. This project will focus on computational and
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physiological and blood-based markers linked to left atrial thrombogenicity in AF, supporting more personalised stroke prevention. Project plan Phase 1: Cohort discovery in PREFER-CMR (n ~2,000): Using the PREFER