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relevant to industry demands while working on innovative projects within the university. The research team is seeking a Research Fellow or Research Engineer with strong expertise in Human-Computer
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department in its field, running a globally competitive programme of research and teaching. The Botnar Research Centre enables and encourages research and education into the causes of musculoskeletal disease
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studies coding transcripts which may include developing high-quality code for data preparation and data analysis using commonly used computer languages carrying out descriptive data work including
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develop foundational security theory for agentic and multi-agent AI systems, as part of our research programme in multi-agent security. You will build formal models of security-relevant behaviour in
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/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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effectively within the research programme as outlined in the role description This is a full time, fixed term post (part time considered) for 3 years. The closing date for applications is noon on 14 April 2026
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Queen's University Belfast. The post holder will support the progression of the technology from TRL 4/5 to TRL 6/7 under the Invest NI Proof of Concept (PoC) Stage 2 programme, ensuring robust analytical
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supervise a Graduate Engineer, coordinate external contractors and specialist consultants, manage laboratory safety implementation, and ensure delivery of the programme to agreed technical objectives, budget
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and impactful research into intrinsic motivation, with a particular focus on building computational theories that predict human behaviour in the absence of extrinsic rewards, and testing them using
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The Royal Veterinary College, University of London; | Hawkshead, England | United Kingdom | 6 days ago
programme. In addition, this role will provide: Training in genomics and pathogen sequencing Opportunities to collaborate with academic and governmental partners Experience working within an interdisciplinary