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experience. You will bring experience in: Computer vision and machine learning: developing, training, evaluating, and deploying computer vision models. Data visualisation and analytics: turning complex data
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Contract: Open Ended Contract Hours: 21 hours 30 minutes per week (0.6FTE) Salary: Grade 6 (£33,951 - £37,694) per annum The Learning Enhancement and Academic Development Centre (LEAD) at Queen
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experience. You will bring experience in: Computer vision and machine learning: developing, training, evaluating, and deploying computer vision models. Data visualisation and analytics: turning complex data
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(Learning & Teaching), you’ll directly enrich students’ learning by teaching key technical skills that inform the design process through formal sessions, troubleshooting issues in 1:1 tutorials, and providing
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About the role - The University of Nottingham is launching a new Medicine Curriculum in September 2026 and is in the process of building a new Clinical Teaching Centre and Exam Centre to support Clinical Skills and Simulation education. You will provide specialist technical support in the day to...
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human-animal-computer interaction lens, examining how digital tools shape farmer-cow relationships, perceptions of care, and welfare‑related decisions. The project will investigate how farmers engage with
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Summary of the role Learning Experiences & Innovation (LXI) is the ‘go-to’ service across the Exeter learning community in empowering our students, academics, staff and partners to co-create a
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should have a strong foundation in artificial intelligence, machine learning, and multi-agent systems, along with experience in programming, data analysis, and model development. Knowledge
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Fully-funded EPSRC CDT in Machining, Assembly and Digital Engineering for Manufacturing (MADE4Manufacturing) School of Mechanical, Aerospace and Civil Engineering EPSRC Centre for Doctoral Training
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human-animal-computer interaction lens, examining how digital tools shape farmer-cow relationships, perceptions of care, and welfare‑related decisions. The project will investigate how farmers engage with