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. Full-Time, Permanent The Department of Computing, Security and Mathematics at Royal Holloway, University of London is looking to appoint a lecturer in Computer Science to support its research and
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of London is looking to appoint teaching fellows in Computer Science to support high-quality teaching and supervision at undergraduate and postgraduate taught level. The Department has a record of outstanding
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, and large-scale inference workflows. The project engages UK-government stakeholders, reflecting its policy relevance. Applicants should hold a postgraduate degree, ideally a doctoral degree in computer science
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synthesis projects and collaborates with research teams to create literature searches to published methodological standards. You will hold a recognised postgraduate degree in library & information science. It
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, Computer Science or related fields) Individuals who are comfortable working with data and using Excel including V-Look-up, X-Look-up Those who are organised, detail‑focused and keen to learn Anyone with an interest
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of Advanced Study. Also serving the wider national scholarly community and the university’s 40,000 distance learners, it is one of the UK’s largest academic libraries for arts, humanities & social sciences with
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We are seeking a skilled, motivated, and experienced IT professional to join our team as an IT/AV Technician. This is a fantastic opportunity to build on your existing expertise in a fast-paced, supportive, and varied environment—contributing to the delivery of high-quality IT services across...
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) wishes to appoint a Research Fellow in Health Economics. The post sits within the Department of Health Services Research and Policy and links to the Global Health Economics Centre, a cross-school
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predominantly focused on delivering engaging leading industry, business growth and investment expertise to enterprises in the creative technology sector. The post has significant programme production, event
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, relevant experience in computer-based statistical analysis and presentation of results, demonstrated proficiency in a coding language used for data analysis, such as Python or R, proof of previous data