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of the selection process. The successful applicant must be available to attend Sub-Warden training sessions during mid-September and undertake first aid, mental health first aid and fire safety
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of advanced big data analytics and machine learning methodologies to improve the planning, management, and operation of urban mobility systems. The successful candidate will undertake methodologically driven
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into 3D models to allow the validation, inspection and study of the scanned artefacts to be used in simulations and/or inform the generation of digital twin models for manufacturing processes. Key
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, and contribute to process and feasibility evaluation activities. The ideal candidate will hold (or be close to completing) a PhD in a relevant discipline, have experience of working with both
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sections within Student Services. In this busy role, working in a team of 5, you will be required to: Process recruitment campaigns from initial approval and organisation of interviews through to contract
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Specification . Application Process For further support with your application, please refer to our application guidance , which includes some top tips to help you when completing your application We are happy
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on site, with additional on-site attendance during induction and as needed. About the Role Are you passionate about leveraging technology to transform HR processes and enhance employee experience? We
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have an excellent knowledge of screen-printing processes, dyes and pigments sufficient to be able to prepare and deliver workshops as part of a small technical team. Working with students from FE through
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committing yourself to and to understand what is involved. All applicants are required to find out more about the Hall community as it forms an integral part of the selection process. The successful applicant
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enquiries should be directed to Gary Hale, via email to g.j.hale@lboro.ac.uk or by telephone to 01509 226049 For more information refer to the Job Description and Person Specification . Application Process