181 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at University of Manchester
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and leading sports facilities; Learning and development opportunities; Season ticket loans for public transport; Cycle to Work Scheme; Workplace nursery scheme; Staff recognition schemes; Staff
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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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. Learning and application of advanced microscopy and intravital imaging techniques. The maintenance, use and teaching of research associated equipment (e.g. high-end microscopes). To assist team members in
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interviews: Gareth Dean, Catering Manager Email: Gareth.dean@manchester.ac.uk General enquiries: Email: recruitmentservices.people@manchester.ac.uk Technical support: https://jobseekersupport.jobtrain.co.uk
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: michelle.mallon@manchester.ac.uk General enquiries: Email: recruitmentservices.people@manchester.ac.uk Technical support: 0161 850 2004 https://jobseekersupport.jobtrain.co.uk/support/home This vacancy will close
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) Tel: 0161 275 7715 or Email: adam.woof@manchester.ac.uk General enquiries: Email: recruitmentservices.people@manchester.ac.uk Technical support: https://jobseekersupport.jobtrain.co.uk/support/home This
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balance. We particularly welcome applications from women for this post. Appointment will always be made on merit. For further information, please visit: https://www.bmh.manchester.ac.uk/about/equality/ Our
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allow staff achieve a good work-life balance. Appointment will always be made on merit. For further information, please visit: https://www.bmh.manchester.ac.uk/about/equality/ As this role involves
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Associates and PhD students. We are particularly interested in candidates who bring expertise at the intersection of artificial intelligence, machine learning, and criminology. The successful candidate will
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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