201 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Nottingham
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the noise associated with near-term quantum devices. This in turn offers an exciting new dataset from which it will be possible to use machine learning to train a more accurate functional for use in density
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the noise associated with near-term quantum devices. This in turn offers an exciting new dataset from which it will be possible to use machine learning to train a more accurate functional for use in density
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). The project investigates how machine learning (ML) can be used to enhance the modelling of boundary layers in industrial CFD simulations, where complex geometries and computational constraints limit near-wall
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A Human-Factors Investigation of Automation, Decision-Support and Machine Learning in Clinical Decision-Making Tasks. This PhD project is based within the Human Factors Research Group in the Faculty
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About the role - Applications are invited for the position of Technical Specialist for Simulated Learning. There are two positions available. The University of Nottingham is launching a new Medicine
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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
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, organised researcher who can evidence: A PhD, or equivalent in statistics, machine learning or a closely related discipline, OR near to completion of a PhD. Expert knowledge of statistical inference methods
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an application via our on-line application system before 23:59 Beijing Time,30 April 2026 at https://jobs.nottingham.edu.cn/job/184518/ Only on-line applications made at (https://jobs.nottingham.edu.cn/ ) will be
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to undertake a 4-year, enhanced stipend PhD studentship, within the Digital Metal CDT https://digitalmetal-cdt.ac.uk/ at the University of Nottingham. The Centre for Excellence in Coatings & Surface Eng
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China invites applications for a Professor / Associate Professor in Econometrics with a strong specialization in Machine Learning and Data Science. The appointment is expected to begin in August 2026