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advance machine learning and natural language processing (NLP) methods to analyse complex information manipulation, legal responses, and opposition actors across critical domains such as election integrity
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in machine learning and/or computer security and Experience working with LLMs or agent-based systems. Informal enquiries may be addressed to [email protected] For more information about working at
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Develop AI solutions that drive commercial business decisions We are looking for a highly capable machine learning specialist to lead the development of a next-generation retail insight platform
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doctoral researcher(PhD student) with a strong background in probabilistic machine learning, statistics, applied mathematics, computer science, or a related field, and strong programming skills, to work
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IT Services, the TELT provides strategic oversight of technology enhanced learning at Queen Mary University of London and works to promote, support and develop technology enhanced learning across
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PhD Studentship: Efficient Long-Horizon Task Execution in Physical AI (deep learning, computer vision, robotics) Number of awards: 1 Award information: Fully funded PhD studentship covering Home
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Closing date: Tuesday 6th October 2026 at midnight The University’s Student Life provision brings together a range of support services including counselling, mental health and wellbeing, learning
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, for continuous and non-invasive health monitoring. Through the development of robust machine learning models, and uncertainty-aware prediction methods, the project aims to improve the early detection of movement
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Lecturer in Practice Learning Department Nursing & Midwifery Education Location Ormskirk Salary £39,906 to £44,746 per annum Permanent Post Type Full Time Closing Date Wednesday 30 September 2026
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environment, working with an academic project team on robotics, machine learning and cyber-security. The project is supported by the University's research and innovation infrastructure and has a clear focus on