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round Details This project explores how machine learning and artificial intelligence can transform the scholarly digital editing process, not only by potentially automating and enhancing editorial
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resources and network infrastructure and thus support and improve the operation of the energy networks and the performance and the sustainability of the urban energy system. Learning-based techniques (e.g
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. The postholder must have registration with the Nursing Midwifery Council (NMC) and have experience of supporting and supervising learners. Key areas of responsibility Assist organisations to identify learning and
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Based at University of York campus (with some remote working options available) Department An exciting opportunity has arisen for an enthusiastic Associate Lecturer to join the Practice Learning
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development, machine learning and signal processing, and system integration. We are interested in working on different areas to improve the BCI technology. These areas include (but are not limited
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Overall, Purpose of the Job To take responsibility for the administration of teaching and learning, and student administration in the School based Curriculum and Programmes team. To support a
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of available multi-energy resources and network infrastructure and thus support and improve the operation of the energy networks and the performance and the sustainability of the urban energy system. Learning
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including the development, training, and testing of computer vision and machine learning tools for AI-automated anatomical landmark detection and segmentation of clinical images. Building upon previous work
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Overview The School of Electrical and Electronic Engineering seeks to appoint a Lecturer in Electrical Machines and Power (equivalent to Assistant Professor), with expertise in one of the following
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part-time positions are available for those committed to application-oriented education. Job Responsibilities Teach and assess at least 3 courses in the following core subjects: Data Analytics & Machine