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We are looking to appoint a postdoctoral research associate with expertise in military power, military work and labour, the politics of unions, and/or critical and feminist approaches, to contribute
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Applications are invited for a Machine Learning (ML) Scientist, to work with a team working with Professor Sir Aziz Sheikh on a research programme on the HDR UK Inflammation and Immunity Driver (DP2
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Location: Nuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, Woodstock Road, Oxford Applications are invited for a Machine Learning (ML) Scientist, to work with a
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About the role Applications are invited for a Postdoctoral Research Associate in Artificial Molecular Machines to work under the supervision of Professor Matthew Langton for a period of up to 24
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PhD Studentship: Designing Human-AI Teams for Meaningful Human Control of 'Machine-Speed' Operations
January 2027. This PhD explores the design of human-AI teams when the AI agents operate at ‘machine-speed’ (i.e., significantly faster than human cognitive and communication capabilities). The research will
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We are seeking an experienced Lecturer specialising in Computer Games Development and Animation to join our academic team. The successful candidate will be responsible for delivering engaging
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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally worked Monday to Friday. Flexible working will be considered. Contract type: Fixed term...
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temporal resolution. This project aims to overcome these critical limitations by applying advanced machine learning techniques to denoise and improve spatial resolutions. You will run high-fidelity
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, Asylum and Nationality Act 2006. Full-Time, Fixed-Term (12 month contract). Applications are invited for the post of Research Assistant in Applied Machine Learning for High-Stakes Regulated Domains in
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Brushless Doubly Fed Machines (BDFMs) are emerging as a promising technology for offshore wind turbine generators due to their fractional-sized power converters, elimination of rotor brushes and