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NIHR Clinical Lecturer in Respiratory Medicine; Vascular Surgery; Cardiology/Honorary Specialty Regi
, or have been through national recruitment and be regarded as appointable at ST3 or above in Vascular Surgery, or ST4 and above in Respiratory Medicine/Cardiology and be able to provide formal written
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of our plans to drive operational excellence. We’re introducing shared systems and automated processes to simplify work, connect teams, and enhance efficiency. This approach will allow staff to focus
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Peterborough). This position provides leadership to our surgical block leads at each site and will continue to enhance and develop our year 3 surgery curriculum in partnership with the Director of Clinical
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Vascular Professor Matt Bown, mjb42@le.ac.uk Clinical Academic Training Programme: Training Programme Director Vascular Surgery, Mr Akin Oluwole, Akin.Oluwole@nuh.nhs.uk Director of Clinical Academic
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an excellent opportunity to support the temporary staff recruitment process across the University. Working on a hybrid basis, you will play a vital role in ensuring the smooth running of recruitment activities
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of Leicester. Working within Human Resources, you will take the lead in monitoring, analysing and improving data processes to ensure our information is accurate, robust and ready for statutory, sector and
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of our plans to drive operational excellence. We’re introducing shared systems and automated processes to simplify work, connect teams, and enhance efficiency. This approach will allow staff to focus
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of the sample processing. This includes flotation, residue sorting, data basing, maintaining inventories and equipment. As well as the ability to meet daily targets set for processing samples
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will contribute to high quality undergraduate and postgraduate teaching in areas related to material processing, design and manufacturing, ensuring an excellent and inclusive student experience across
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experience of code development and the application of AI or machine learning techniques. You will bring strong expertise in computer programming and the use of computational models to understand and predict