4,237 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"CESBIO" positions in United Kingdom
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the gallery. Set up ‘to inspire a lifelong love of art and learning’, TOP has worked with thousands of children to date: this offers a rich dataset to help better understand the evolution of the programme and
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Human Computer Interaction and physical computing. Supervise postgraduate research students working on topics related to hardware, fabrication and/or interactive systems. Teach effectively across the full
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learning. While our scale and ambition have grown, our purpose has remained constant: empowering communities, advancing social justice, and equipping students with future-proof skills to thrive in a rapidly
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the past? If so, read on and apply to join our friendly, ambitious work-related learning team who make a huge impact on our students! Our expanding work-related learning offering provides experiential
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commitment to expanding access to technical and professional learning. While our scale and ambition have grown, our purpose has remained constant: empowering communities, advancing social justice, and
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About the Role A fantastic opportunity has arisen for a Senior Research Fellow to join the Power Electronics, Machines and Drives Research Institute (PEMC) at the University of Nottingham and become
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Learning and Teaching Coordinator - Maternity Cover ( Job Number: 25001731) Department of Engineering Grade 5: - £27,319 - £30,378 per annum (Pro Rata) Fixed Term - Part Time Contract Duration
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The Department of Education and St Antony’s College intend to appoint a Professor of Learning and Teaching of Chinese who will provide leadership in teaching and research at the highest level in
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student will join the Electrical Machines and Drives Research Group within Sheffield Engineering Faculty. Specifically, the PhD student will join the Control and Power Systems (CAPS) Laboratory, led by Prof
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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application