191 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at University of Nottingham
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permanent post for 52 weeks of the year plus all of the tools you need to do a great job. · Uniform provided. All of our vacancies are available to view at: https://www.nottingham.ac.uk/jobs/home.aspx
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will be offered instead. How to Apply Applicants are invited to submit their applications via the application link below on or before 15 December 2025. https://jobs.nottingham.edu.cn/job/184401
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the role profile. Refer to our candidate guidance on writing an application and the use of AI: https://www.nottingham.ac.uk/jobs/candidate-guidance/writing-your-application.aspx Hours of work are full-time
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curriculum leadership by designing, developing, and continually enhancing module content and learning materials to foster student engagement and academic excellence. Supervise and examine Undergraduate
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extended by mutual agreement. Applicants are invited to submit their applications via the application link https://jobs.nottingham.edu.cn/job/184369/ by 23:59 Beijing Time, 23 February 2026, which should
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to curriculum development, ensuring innovative approaches to learning, teaching, and assessment that reflect international best practice. Lead and support major funding bids, develop partnerships with industry
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tailor your answers to reflect the role requirements in the role profile Refer to our candidate guidance on writing an application and the use of AI: https://www.nottingham.ac.uk/jobs/candidate-guidance
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All our vacancies are available to view at: https://www.nottingham.ac.uk/jobs/home.aspx Our university is a supportive, inclusive, caring and positive community. We welcome those of different cultures
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foundation in either machine learning or mathematical/computational neuroscience, demonstrable programming experience (Python/PyTorch), and the curiosity to work across disciplinary boundaries. A background in
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About the role – In this post, you will join a collaborative BBSRC-funded project focused on using metabolomics and machine learning to predict lameness outcomes in dairy cows. A typical day may