83 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions at University of Nottingham in United Kingdom
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including fitness facilities, staff discounts and travel schemes Find out more on our benefits website: https://www.nottingham.ac.uk/jobs/benefits-and-facilities/your-benefits.aspx What next Further
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of Mathematical Sciences and active research themes see: http://www.nottingham.ac.uk/mathematics/index.aspx . To find out more about the People and Culture in the School of Mathematical Sciences please visit our
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use of AI: https://www.nottingham.ac.uk/jobs/candidate-guidance/writing-your-application.aspx This is a permanent position. Your working hours will be 36.25 hours per week. If you are interested in part
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the UK’s most successful universities. Further information about the School is available at: http://www.nottingham.ac.uk/business/ What we offer A friendly, diverse, and supportive working environment A
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Further information on the benefits available can be found at the link below. https://www.nottingham.ac.uk/jobs/home.aspx We’re seeking someone who is: Passionate about food Qualified to 706 1/2 or NVQ 1/2
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development opportunities and much more. For a full role profile, role dimensions and person specification and to apply please go to the Students’ Union website https://su.nottingham.ac.uk/about/work-for-us
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Students’ Union website https://su.nottingham.ac.uk/about/work-for-us Closing date: 30th June 2026 Interviews: Week commencing 13th July 2026 Please note, applications from agencies will not be accepted
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before 23:59 Beijing Time, 31 July 2026. https://jobs.nottingham.edu.cn/job/184602/ Applications should include but are not limited to the following: A cover letter An up-to-date CV A full publication list
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, spanning sensing, nanotechnology, AI, and clinical medicine A supportive and inclusive research culture, underpinned by the Researcher Development Concordat (http://www.vitae.ac.uk/policy/concordat ). Close
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datasets, and large-scale statistical studies comparing different methods. The successful candidate will be jointly supervised by: Dr Edward Gillman (https://www.nottingham.ac.uk/physics/people