81 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" uni jobs at University of Nottingham
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rights relating to the use of your personal data can be found within our website privacy notice. What Next: To apply for this vacancy please click on the link below https://fa-evyf-saasfaprod1
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please access: https://jobs.nottingham.edu.cn/job/184348/ If you are unable to apply on-line please contact the Human Resources Department, Tel: 86 574 8818 000 (Ext. 8404), Email: Job@nottingham.edu.cn
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opportunities based on individual eligibility at time of application. How to Apply Applicants are invited to submit their applications via the application link before 24 October 2025. https
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email address will not be accepted. Please Quote Reference: NHE250425 All of our vacancies are available to view at: https://www.nottingham.ac.uk/jobs/home.aspx Our university is a supportive, inclusive
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for these posts. Please click here to view more information for Sutton Bonington Campus: https://www.nottingham.ac.uk/about/campuses/suttonboningtoncampus.aspx What’s in it for you? Ongoing support to develop your
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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 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
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always provided throughout the student journey. You will also manage adherence to University policies and procedures within the unit and will carry out service, codes of practice and Health and Safety
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adherence to University policies and procedures within the unit and will carry out service, codes of practice and Health and Safety audits. Candidates should have substantial experience within a similar
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a good understanding of molecular structure and interactions and/or experience of analytical techniques such as mass spectrometry, basic computational or numerical skills (e.g. data analysis, coding