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(Research Assistant) or PhD degree (Research Associate) in computer science or a related area or equivalent experience. Familiarity with standard machine learning libraries/data analysis, specifically as
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We are looking for a creative and enthusiastic Research Assistant for a role focusing on Clinical Machine Learning and Natural Language Processing. You will be working on an exciting project, funded
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: Experience in software development in topics such as computer vision, audio signal processing, machine learning, deep learning, and/or sensor systems. Experience in collaboration and technology transfer
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models (mathematical + software) of existing grid operational practices Systematically exploring different formulations of mixed-integer constraints in grid optimisation problems Developing machine
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information/data from one structure can be used to manage similar structures from the same population. New machine learning, sensing and digital twin technologies will be developed with the aim of driving new
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We are looking for a Postdoctoral Research Associate reporting to the Principal Investigator Prof Yee-Whye Teh, they will be a member of the Oxford Computational Statistics and Machine Learning
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to completion) or possess equivalent research experience in a relevant computational field such as data science, artificial intelligence, machine learning, computer science or statistics. They will bring strong
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lifecycle. You’ll have a particular focus on employee relations, learning and development, and using data to drive continuous improvement. Your support will empower managers to lead confidently and create
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on basic laparoscopic surgery tasks, using data collected under varying network conditions and applying machine learning and time-series modelling to predict delay. The models will be integrated into a real
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specialist areas such as programming for finance and machine learning. You bring experience delivering high‑quality learning both online and in person, using digital tools and real‑world applications to bring