332 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" "UNIV" positions at University of Nottingham
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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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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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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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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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of data for our submission to REF in November 2028. The role holder will work closely with a wide range of colleagues across the institution to coordinate and support the systems (e.g. RIS) and data
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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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trigger redesigns across multiple groups. The challenge is compounded by the fact that each discipline uses different data models and representations, making system-level interdependencies difficult
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identification and gathering of data to feed into the quantitative elements of the submission and will be the central contact point for advice and guidance on the SPRE element of REF. They will also support the
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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