233 machine-learning "https:" "https:" "https:" "https:" "https:" uni jobs in United Kingdom
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- York St John University
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Production for New Media Computer Animation and Motion Graphics Data Visualisation Aesthetic Digital Engagement Technologies for Art and Culture Fiction and Avatar Development Digital Graphic Production
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experience aligned to the goals of at least one of the Centre for Data Science and AI’s programmes with commensurate output. E2 Experience in machine learning and AI, including experience in machine learning
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website areas. Without these cookies, the website would not be able to work properly. Service: Cookie Information Purpose: Supports the website's technical functions. Privacy policy: https
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the contract. We are looking for graduates from: Renowned management programs: e.g., M.Sc. in Business or Adjacent disciplines such as economics, psychology, engineering, or computer sciences: e.g., M.Sc. in
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with the CDT’s aim to achieve a sustainable wind farm lifecycle by developing methods for high-value reuse of composite turbine blades. Machine learning and non-destructive evaluation techniques will be
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China invites applications for a Professor / Associate Professor in Econometrics with a strong specialization in Machine Learning and Data Science. The appointment is expected to begin in August 2026
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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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/application of specialist machines equipment. 4. Make a leading contribution to shaping the plans of the service area/research/teaching group plans. Develop a vision and strategic plans for operational
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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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approaches often provide only limited insight into these effects. This project will use advanced computer simulation, informed by post-operative scans and patient movement data, to understand how variations in