439 computer-security-"https:"-"https:"-"https:"-"https:"-"BOCCONI-UNIVERSITY" PhD positions in United Kingdom
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our Postgraduate Research Society (PGES) and our PGR Research Group Reps to enhance the research environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme
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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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Application deadline: All year round How to apply: uom.link/pgr-apply This 3.5-year PhD project is fully funded, and home students are eligible to apply. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805 for 2026/27) and tuition fees will be paid. We...
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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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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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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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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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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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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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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.