562 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" PhD positions in United Kingdom
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requirements for the programme, IELTS Academic score of 6.5 (with no less than 5.5 in each component test area) or equivalent. The studentship is supported for three years and include full Home or International
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A fully funded PhD studentship is available for outstanding candidates to undertake cutting-edge research leading to a PhD in Chemical and Biomedical Engineering. The successful candidate(s) will
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are welcome to apply but will be required to cover the difference between Home and International fees. International applicants may require an ATAS (Academic Technology Approval Scheme) clearance certificate
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to the Lancaster Experimental Economics Lab (LExEL) ESRC NWSSDTP cohort training and interdisciplinary development Fully funded participation in national and international conferences Opportunities for teaching
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reference). Upload your qualification(s) for entry onto the research degree programme. This will be Bachelor/Master’s certificate(s) and transcript(s). International applicants must also provide a valid
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of Warwick is an innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing challenges of our time. Big Questions
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collaboration across disciplines, for example, public health, business, education, engineering, and governance—to address issues such as health equity, urban resilience, and social innovation. Challenges include
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. Specific requirements of the candidate The successful applicant is expected to have: An honours degree at first or upper second-class level in Cyber Security, Artificial Intelligence, Computer Science
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of Heterogeneous Systems) at the University of Warwick is an innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing
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engineering excellence needed for the aerospace sector. In this PhD, high-fidelity two-phase Computational Fluid Dynamics (CFD) methods will be used to model complex and fundamental cryogenic hydrogen flows