162 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at University of Birmingham in United Kingdom
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to £46,049 with potential progression once in post to £48,822 Grade: 7 Full Time, Fixed Term contract up to August 2027 Closing date: 14th April 2026 Background To teach and advise undergraduate, postgraduate
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set up and take out, cleaning of the machine. Attending training once a month outside of normal shift pattern, lifeguard training, situational training, fire warden training. Dry side (including indoor and
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of children with learning disabilities: Feasibility Randomised Controlled Trial of the serious game ‘Broodles’. This projects examines whether a serious game (Broodles) can be delivered successfully to siblings
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Learning programme. We are now extending our portfolio to deliver the MSc Bioinformatics programme in collaboration with Jinan University in Guangzhou, China, and are seeking to recruit an Assistant
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developing and advising others, including: (a) providing expert advice to staff and students, (b) supervising and examining PhD students, and (c) developing and advising others on learning and teaching tasks
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To assist in research (by carrying out data collection and analyses) within an NIHR funded research project – Improving Communication of Adults with Learning Disabilities (ICALD). The post is situated in
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You will provide high quality care, learning and development for all children attending the Nursery. You will ensure that children are safe, happy and stimulated with their individual needs met, in line
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developing economic models, machine learning and simulations. Proven project management skills and experience of designing, managing and delivering high quality projects on time. Proven written and
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) History (Medieval Iberia) Manuscript Culture (Medieval Iberia) Literature, Theatre and Visual Culture (Early Modern Spain) Military and Maritime Life (Early Modern Spain) Translation and Cross-Cultural
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ground engineering, including AI-driven asset management, predictive maintenance, autonomous inspection, computer vision and sensing technologies. The successful candidate will be expected to create and