193 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at University of Manchester
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and materials engineering. They will do this by integrating modern data-centric approaches, such as physics-informed machine learning, structure-aware modelling, and digital-twin methodologies, with
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A University of Manchester The University of Manchester enjoys a global reputation for its research and its innovative approach to learning and is one of the largest single-site universities in
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. For more information please visit https://www.se.manchester.ac.uk/ . The Particle Physics group supports a broad research programme in both experimental and theoretical particle physics. The group comprises
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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 Particulars document
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of the CPD and MSc courses in Occupational Medicine, to provide student support and advice, and to contribute to developing and delivering teaching and learning materials across all the programmes provided by
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Alexander Neimark (Rutgers University), Dr Mathias Steiner (IBM Research), and Dr Yongqiang Cheng (Oak Ridge National Laboratory). Together, the team integrates molecular and ab initio simulations, machine
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customer-oriented attitude. You have good computer skills with experience working with Excel, Word and MS Outlook, and People/Payroll systems. You have experience working in a high volume transactional
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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 Particulars document which contains
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that build research skills among health and care professionals, partnering with trusts, NIHR networks, and academic teams. By connecting diverse stakeholders and promoting cross-theme learning, you’ll help
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. This is part of a collaborative project aiming to help children with Cerebral Palsy by diagnosing hip problems early. The successful applicant will use machine learning techniques to automatically identify