534 computer-security "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Oxford
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the ability to set milestones, develop project plans and monitor progress, and deliver within agreed timeframe Strong knowledge of current Health and Safety legislation in a scientific laboratory environment
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, in natural science and/or social science domains. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
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-to-phenotype models for human health at the Big Data Institute (BDI), University of Oxford. The successful candidate will contribute to a strategic research programme integrating population-scale biomedical data
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welcoming first point of contact for staff, students, and visitors, while ensuring the smooth coordination of building maintenance, room setups, and safety procedures. In this varied and hands-on role, you
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, including handling and resolving enquires from building users, both face to face and via e-mail whilst maintaining a high standard of Health and Safety and service to the building users. Work with the Deputy
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communication skills and attention to detail • Knowledge of food safety and hygiene. Why Join Kellogg? Kellogg College is the most internationally diverse College within Oxford University, fostering
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We are seeking a Senior Researcher to join a joint research programme between the Big Data Institute (BDI) in the Nuffield Department of Population Health and the Centre for Human Genetics in
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Division and wider University. As the Development Officer - Medical Sciences, you will work across the division to secure philanthropy that furthers this cutting-edge work, from developing treatments
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during their PhD and in any postdoctoral positions. Securing a Fellowship will offer you the freedom to conduct your own research programme. To aid the development of their academic profile and to support
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, Rheumatology and Musculoskeletal Sciences at the University of Oxford. The post-holder will co-lead development of a CoRE computational pipeline that integrates multi-omic data at the cellular level across