772 information-security "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" Fellowship research jobs in United Kingdom
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compliance with Work, Safety and Health Regulations. 7. Project Management Support: Ensure timely execution of project milestones Coordinate with external collaborators and manage data-sharing protocols. Work
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that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to support and contribute to an industry innovation research project. The Research Engineer
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& Qualification needed PhD in Computer Science, Engineering, Psychology, Safety Science or cognate discipline, or equivalent experience Well-established national and international reputation in area of research
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Computer Science, Engineering, Psychology or cognate discipline PhD, or in final stages thereof, in Computer Science, Engineering, Psychology, Safety Science or cognate discipline, or equivalent experience Knowledge
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First degree in Computer Science, Engineering, Psychology or cognate discipline PhD, or in final stages thereof, in Computer Science, Engineering, Psychology, Safety Science or cognate discipline, or
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Academic Centre of Excellence in Cyber Security Research, as recognised by EPSRC and NCSC; a particular focus of our work is on Trustworthy AI. The purpose of this role is to undertake research
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Scientists”, led by Stephan Guttinger. This Leverhulme funded post is available at the Exeter Streatham campus from 1 September 2026 to 31 August 2030. This project will bring together expertise in philosophy
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Fixed-term for 24 months Full time – 37 hours per week Closing date: 29/03/2026 at 23:30 We are looking for a Research Fellow to join our team at CENTRIC , working across a variety of security
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offloading for public safety services. The successful candidate will be responsible for the end-to-end investigation of novel edge-assisted computation offloading strategies that leverages edge intelligence
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; familiarity with data warehouse, ETL, API design or Trusted Research Environment / Secure Data Environment access Working knowledge of time-series analysis, predictive modelling or incidence/recruitment