38 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions at University of Surrey
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next-generation machine learning (ML) models that are both data-efficient and transferable, enabling more reliable catastrophic risk prediction, defined as the probability of exceeding critical safety
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closely with researchers across the groups at Imperial College London, the University of Surrey, King’s University, and with the broader worldwide network of collaborators. About you Crucial skills include
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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 experiences that prepare graduates to excel in an ever-changing world. We are seeking a new Pro-Vice-Chancellor, Education to play a pivotal role in shaping Surrey's education and student experience
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. Watch our short introductory video: https://youtu.be/gSpR1IRhKhE We offer a generous pension, relocation assistance where appropriate , flexible working options including job share and blended home/campus
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Surrey's position among the world's leading universities. For more information, including how to apply, please visit https://plusportal.perrettlaver.com/ quoting reference 8180. From here you can request
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statements to help us assess your suitability for the position. Further information Further information about the University and the School of Health Sciences can be found at https://www.surrey.ac.uk/school
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@perrettlaver.com . To download the recruitment pack or apply online, please visit https://plusportal.perrettlaver.com/ quoting reference 8313.
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); j.wen@surrey.ac.uk . Information about research activities at FMEG can be found here: https://www.surrey.ac.uk/fire-and-explosion-modelling-group
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With over 40 members from more than 15 countries, the Economics group at the University of Surrey (https://www.surrey.ac.uk/economics) enjoys a strong reputation for research and teaching in