293 computer-programmer-"https:"-"IDAEA-CSIC" "https:" "https:" "https:" "https:" "https:" "Dr" "L2CM" positions at University of Nottingham
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one of the world’s leading centres for additive manufacturing research and development, invites applications for a fully funded PhD programme. Metal additive manufacturing is transforming how complex
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Undergraduate BMBS and BSc programmes. You will deliver teaching and assessment, convene modules, supervise undergraduate projects, contribute to quality assurance and support the student experience. You will
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Graduate Entry and Undergraduate BMBS and BSc programmes. You will deliver teaching and assessment, convene modules, supervise undergraduate projects, contribute to quality assurance and support the student
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the role profile. Refer to our candidate guidance on writing an application and the use of AI: https://www.nottingham.ac.uk/jobs/candidate-guidance/writing-your-application.aspx Hours of work are full-time
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world-class training programme combining research-led innovation with real-world industry application. Students will receive high-level entrepreneurial training provided by Haydn Green Institute, bespoke
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The rapid growth of deep learning has come at an extraordinary environmental and computational cost, yet the standard training paradigm remains remarkably unchanged. Every sample is passed through
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across work packages. You will be expected to plan and conduct your own analyses using available tools, to adapt existing methodologies and models, and design new models that improve our understanding
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and under the mentorship of Prof Andrew French and Dr. Michael Pound, at the Computer Vision Lab, Jubilee Campus, University of Nottingham. Apart from contributing to existing research projects
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provides a thriving research environment for postgraduate researchers, fostering a strong sense of community across disciplines. PGRs benefit from training through the Researcher Academy Training Programme
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; MSc distinction/high merit). Prospective applicants are encouraged to contact Dr Luisa Ciano (luisa.ciano@nottingham.ac.uk ) and/or Dr Anca Pordea (anca.pordea@nottingham.ac.uk ) for more details or