815 phd-position-for-fully-funded-reserch-in-computer-vision PhD positions in United Kingdom
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Fully Funded PhD Research Studentship tax-free stipend of £20,870 Design, Informatics and Business Fully Funded PhD Research Studentship Project Title: Autonomous AI-powered red agents for enhanced
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Fully Funded PhD Research Studentship tax-free stipend of £20,870 Design, Informatics and Business Fully Funded PhD Research Studentship Project Title: Behaviour-Based Anomaly Detection
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Fully Funded PhD Research Studentship tax-free stipend of £20,870 Design, Informatics and Business Fully Funded PhD Research Studentship Project Title: Profiling hardware and feasibility of new
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When robots move, human interaction partners and observers ascribe an intention to the robot. For example, in a simple pick-and-place scenario where a robot is facing two different objects, as its
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Ovarian cancer is the deadliest of all gynaecological cancers (>2000 deaths/year, UK). It is described as a silent killer as most diagnoses occur after it has spread to the peritoneal cavity (metastasis). It is known that peritoneal cells contribute to the growth of metastatic tumours....
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Teaser summary: Queen’s Business School invites applications for a fully funded, 3.25-year PhD studentship for entry in September 2025 or January 2026, supporting original research proposals from
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This PhD project offers the opportunity to explore a rich and rapidly developing area of research where powerful mathematical ideas unlock exact solutions in quantum physics. Most physical systems
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There is an exciting opportunity for two students to pursue a funded PhD with Angelo Pirrone, Nathan Evans, Giovanni Sala and Konstantinos Tsetsos at the University of Liverpool, starting in October
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for 2025/26). Additional research expenses of up to £3000 per year will also be available. International Fee Students: Fully funded if the applicant is successful in being offered a SUIPRES Scholarship as
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Closing Date Sunday 17 August 2025 Reference PHD002-25 A funded PhD position is available on a project funded by the Leverhulme Trust. Description below: The density of information content in screen media