309 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions at University of Nottingham
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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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on the eligibility of application. How to Apply Applicants are invited to submit their applications via the application link below on or before 17 December 2025. https://jobs.nottingham.edu.cn/job/184397/ Applications
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to Apply Applicants are invited to submit their applications via the application link below. https://jobs.nottingham.edu.cn/job/184340/ Applications should include but are not limited to the following: A
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In this role you will develop cutting edge AI approaches to help researchers identify scientific information in historical manuscripts. Specifically, working with the Royal Horticultural Society
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users Communicate clearly and proactively with staff and students, providing updates on works, changes and issues Maintain accurate statutory testing and compliance records, ensuring data is well
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collating the information for the monthly news bulletins for all sent Network members. The successful candidate for this full-time post will: Possess a first-class or upper second-class honours degree
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collating the information for the monthly news bulletins for all sent Network members. The successful candidate for this full-time post will: Possess a first-class or upper second-class honours degree in
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Data is more valuable than oil, so it has been said. Quantum computing offers new unusual datasets thereby presenting new opportunities for AI approaches. Quantum computing is raising the prospect
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Studentship Information Supervisor: Professor Ian Fisk Secondary Supervisor: Dr Vincenzo di Bari, Dr Louise Hewson, Mui Lim Subject Area: Food Science Research Title: Sodium Reduction in Coated
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the network, and every synapse is updated, on every epoch. Recent work has begun to challenge both halves of this independently. Progressive Data Dropout has shown that progressively reducing the training set