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analysing data related to a range of feedback routes such as the National Student Survey (NSS), Student Staff Fora (SSF) and local Chemistry surveys. Excellent communication and relationship management skills
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succeed in our recruitment process and have published Candidate Guidance for you to access information and support on application and interview process. We offer a range of benefits, visit Your Benefits
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information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details. Please contact Prof. Chris Dodds using chris.dodds@nottingham.ac.uk if you have further
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facilities, staff discounts, travel schemes and many more. To find out more about what we can offer you, follow the link to our benefits website What next Further information is available in the role profile
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Inclusion . We want you to succeed in our recruitment process and have published Candidate Guidance for you to access information and support on application and interview process. We offer a range of
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. Further information on the duties for the post can be found on the attached job role profile. This is a permanent, full time post. Hours of work are full time (36.25 hours per week) to be worked 5 days out
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and deliver high-quality ESE aligned with the university’s Quality Manual. Lead the integration of QA, QS, and QE cycles, driving data-informed decision making. Provide strategic oversight
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the development of a high-quality, strategic and market-aligned undergraduate (UG) and postgraduate taught (PGT) programme portfolio Use data-driven insights to inform ESE decision-making and strategy
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environment. How to apply: Applicants are welcome to contact Professor Yupeng (Jack) Wu Yupeng.Wu@nottingham.ac.uk directly for more information about the projects. Application will need to email your CV
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Text Recognition (HTR) models to recognize and classify characters in relatively small data sets, and which digital images work best? Can existing models be deployed to reassemble fragmentary texts and