194 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at University of Manchester in United Kingdom
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(NLP) and machine learning to analyse text data. For this project the research associate will be based at the Centre for Musculoskeletal Research (CfMR), Centre for Epidemiology, The University
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· Learning and development opportunities to support your career growth · Season ticket loans and Cycle to Work scheme · Workplace nursery scheme and family-friendly policies · Staff discounts on travel, retail
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@manchester.ac.uk Technical support: https://jobseekersupport.jobtrain.co.uk/support/home This vacancy will close for applications at midnight on the closing date. Please see the link below for the Further
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: recruitmentservices.people@manchester.ac.uk Technical support: 0161 850 2004 https://jobseekersupport.jobtrain.co.uk/support/home This vacancy will close for applications at midnight on the closing date. Please see the link
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teaching, learning, and the end-to-end student lifecycle, turning complex academic and business needs into robust, scalable solutions. You’ll act as a functional expert for Campus Solutions, guiding
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: recruitmentservices.people@manchester.ac.uk Technical support: https://jobseekersupport.jobtrain.co.uk/support/home This vacancy will close for applications at midnight on the closing date. Please see the link below
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enquiries: Email: People.recruitment@manchester.ac.uk Technical support: https://jobseekersupport.jobtrain.co.uk/support/home This vacancy will close for applications at midnight on the closing date. Please
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@manchester.ac.uk Technical support: https://jobseekersupport.jobtrain.co.uk/support/home - Please quote referenceBMH-030746 This vacancy will close for applications at midnight on the closing date. Please see the
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and interviews: Name: Rachel Watkins Email: r.watkins@manchester.ac.uk General enquiries: Email: People.recruitment@manchester.ac.uk Technical support: https://jobseekersupport.jobtrain.co.uk/support
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and we are committed to promoting an ethos of lifelong learning. We use innovative teaching methods including online learning, peer-assisted study and simulation. Our approach is dynamic and we