579 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:" PhD positions in United Kingdom
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qualification ) with a UK master's degree (with an average programme mark of no less than 65%) or international equivalent . Applicants must meet the minimum English language requirements. Further details
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requirements At least a 2:1 honours degree (or equivalent international qualification ) with a UK master's degree (with an average programme mark of no less than 65%) or international equivalent . Applicants
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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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intended to invite and include. You may have or be close to completing: An undergraduate degree involving some work with data in any programme of study (e.g. Geography, Sociology, Health Sciences, Business
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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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community, and support long-term societal impact. We welcome applicants from background, including but not limited to computer science, data science, engineering or mathematics, who are passionate about
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ADAPT-AI is seeking passionate researchers and practitioners from diverse backgrounds to join our innovative doctoral training programme exploring how audiences experience and engage with creative
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Sponsor/ Supporting Company: WMG – affiliated with Faraday Institution Eligibility: 2:1 or equivalent undergraduate in STEM (Masters Degree desirable) Start Date: Oct 2026 – intake The Battery Materials & Cells (BMAC) group at WMG, University of Warwick are looking for a well-qualified PhD on...
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is critical to enhancing the economics of large-scale offshore wind energy projects. Prediction of the localised turbulent wind conditions onset to each turbine location is a key input to determine
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necessarily require formal education in geotechnics. Applicants with a background in mechanical/materials engineering or alternatively mathematics/computer science with an interest in numerical modelling