59 coding-"https:" "https:" "https:" "https:" "https:" "https:" "L2CM" uni jobs 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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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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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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, and assisting with administrative processes that underpin all three functions. You will help ensure adherence to University policies and procedures and will carry out service quality, codes of practice
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high-quality vector graphics, animation, and print layouts and demonstrable ability to code and customise web resources using HTML, CSS, and JavaScript to overcome CMS limitations and build bespoke
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and willing to tinker with equipment. Interested in how machine learning and modelling techniques can impact real-world processes. Experienced with kinetic analysis and/or coding (MATLAB or Python