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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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, 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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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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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
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), via email to z.osman2@lboro.ac.uk or by telephone to 01509 226071 For more information refer to the Job Description and Person Specification . Application Process For further support with your
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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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the recruitment process. If there are any additional adjustments, you’d like to request please contact f.m.admin@mailbox.lboro.ac.uk . We also offer reasonable adjustments on the job. Closing Date: 6th February
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students as they bring their ideas to life, equipping them with the practical skills and processes essential to their creative development. Through hands-on guidance and expert instruction, the team helps
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learning support to students, for example theoretical teaching and practical demonstrations & instruction (including in the safe use of equipment). Experience of applying and co-ordinating relevant processes