32 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" research jobs at University of Nottingham in United Kingdom
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years and in the relevant areas of Machine Learning / Artificial Intelligence, Credit Risk Modeling and Operations Optimization Modeling; The candidate must have strong programming skills in Python, and
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) · Start date: Available immediately · Contract: Fixed term for 3 years · Location: Sutton Bonington Campus, University of Nottingham For more information about our research group, please visit: https
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(https://qomix.weebly.com/), which is focussed on quantum science with ultracold atoms and quantum technologies based on advanced 3D-printing methods. Our areas of interest include fundamental questions in
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CV copy. For information about the School of Mathematical Sciences and active research themes see: http://www.nottingham.ac.uk/mathematics/index.aspx . Informal enquiries may be addressed to Luis
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with local NHS Trusts, and is fully-registered by UKCRC (http://www.ukcrc-ctu.org.uk ). Our mission is to conduct high quality, high impact, multicentre trials to improve health and well-being. We
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About the role – In this post, you will join a collaborative BBSRC-funded project focused on using metabolomics and machine learning to predict lameness outcomes in dairy cows. A typical day may
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We are looking for a researcher, whose expertise lies in machine learning or uncertainty quantification, to work with Professor Richard Wilkinson on an EPSRC-funded project entitled “Scaling Cardiac
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this information-gathering process. The successful applicant will have strong expertise in programming, and in particular developing AI-based computer vision methods. Ideally, they will have experience
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and testing a prototype tool with young people, practitioners and computer scientists to support improved identification, understanding and support for self-harm in young people. You will support the
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library research with historical documents and hands-on plant propagation. We are open to all applicants with expertise in either (or both) disciplines with a willingness to quickly learn any skills