433 computer-"https:"-"https:"-"https:"-"https:"-"CEA-IBS" PhD positions in United Kingdom
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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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applicants with the opportunity to undertake an original multi-disciplinary impactful programme of applied research by working with heart failure patients, their clinical carers, and academic researchers. Core
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undertake an interdisciplinary programme combining polymer synthesis, materials characterisation, rheology and mechanical testing, and in vitro drug release studies, supported by quantitative analysis and
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ideas and collaborate in a multi-disciplinary environment. It aims to encourage an effective and vibrant research culture, founded upon the diversity of activities and knowledge. A tailored programme of
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the deadline. The project is to contribute to a major Ministry of Defence (MOD) research programme intended to develop generation after next technologies for applications in defence and security, and this
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standard entry requirements for the Psychology PhD programme . Essential Criteria At least a high 2:1 bachelor’s degree in Psychology or a related field High 2:1 or equivalent in an undergraduate research
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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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importance to a binary assessment of effectiveness. As such, the aim of this PhD programme is to comprehensively evaluate football officiating decision support systems. Identify aspects of newly developed
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apply a broad range of research methods including advanced statistical methods, computational modelling and experimental design, with the aim of generating policy-relevant evidence. The student will work
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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