9 deep-learning Fellowship research jobs at University of Nottingham in United Kingdom
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the lead on, plan, develop and conduct individual and/or collaborative research objectives, projects and proposals either as an individual or as part of a broader programme. - To acquire, analyse
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10 minutes and machine learning algorithms to deliver quantitative diagnosis without destroying the samples. The AF-Raman prototype will be integrated and tested in the operating theatre
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quantitative and digital methods, such as descriptive/inferential statistics, data modelling, machine learning (ML), experimental prototyping and technology ideation. A significant degree of autonomy is required
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community. We welcome those of different cultures, ethnicities and beliefs – indeed this very diversity is vital to our success, it is fundamental to our values and enriches life on campus. Learn more about
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-thinking global campuses. An ever changing world where open minds and diverse cultures are able to learn, challenge and create. The success of our university is down to our amazing people and at Nottingham
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life on campus. Learn more about the university commitment to Equality, Diversity and Inclusion . We are delighted to share that we are the first university to have achieved Athena Swan Gold Award . We
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programme. To acquire, analyse, interpret and evaluate research findings/data using approaches, techniques, models and methods selected or developed for the purpose. To establish a national reputation and
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(particularly under extreme conditions), and/or the use of machine learning for solid mechanics/stress analysis problems are encouraged to apply. The job description presented here is deliberately broad due
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information (spectroscopic data, etc.) for publications are expected. The ability to foster a supportive, creative research culture and the commitment to learn from others is essential. Candidates must hold a