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curriculum development for the MA International Higher Education postgraduate taught programs, as well as teaching modules in the Doctor of Education (EdD) programme and providing supervision for EdD and PhD
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necessarily require formal education in geotechnics. Applicants with a background in mechanical/materials engineering or alternatively mathematics/computer science with an interest in numerical modelling
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programme to help understand and improve the experiences and outcomes for all children and young people learning maths. Your role will require strong organisational and interpersonal skills as you will be
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a comprehensive railway network delay propagation model capable of addressing a wide range of disruptions and response strategies Background The railway network in the United...
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As Foundations for Practice Phase Lead, at the Lincoln Medical School (LMS), you will make a significant leadership contribution to the running of the BMBS programme providing academic oversight
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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. Based in locations across all our UK campuses, we work as one service to provide collaboratively conceived, locally managed and collectively delivered services to students from all our Schools and...
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to carry out the Residential Experience programme as part of the wider ResX team. This is a wide-ranging role and the successful candidate will need to be flexible and confident and able to work as part of a
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& Workbased Learning, supporting learners and employers throughout their programme. Development of Apprenticeship provision is of strategic importance to the University and we have a comprehensive suite of
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sustained period of growth, we are looking for a talented scholar and teacher to help strengthen our new International Public Policy Program. The successful candidate should be available to start August 2026
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Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 36-month PhD studentship will contribute to cutting-edge advancements in automated drug discovery through the integration of high data-density reaction/bioanalysis techniques, organic synthesis, laboratory...