7,422 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" positions in United Kingdom
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programming languages. About the role: Essential criteria include the following: Background in one or more of the following disciplines: Earth Sciences, Environmental Sciences, Geochemistry, Geography
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information about this position and to apply, visit http://jobs.sgul.ac.uk . St George’s School of Health and Medical Sciences is committed to promoting equality, diversity and inclusion in all its activities
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encourages applications from all backgrounds and communities. Further information about this position and how to apply is available on the Gresham website at: https://www.gresham.ac.uk/about-us/work-gresham
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underrepresented groups. For more information, please see our website https://www.hw.ac.uk/uk/services/equality-diversity.htm and also our award-winning work in Disability Inclusive Science Careers https
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University assistant (prae doc) as soon as possible, at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science under the supervision of Univ.-Prof. Dipl.-Inform.Univ. Dr
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students or students who have secured external funding. References https://onlinelibrary.wiley.com/doi/full/10.1002/anie.202213692 View DetailsEmail EnquiryApply Online
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Identification and classification of coherent flow structures in the plasma of the Sun’s photosphere
or other related disciplines. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees/applyphd Applicants can apply for a Scholarship from the
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, CV and the details of two referees as part of your online application. Please see the University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing date
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required to upload a covering letter/supporting statement, CV and the details of two referees as part of your online application. Please see the University pages on the application process at https
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work with the UK semiconductor industry. The studentship represent a unique opportunity to be trained in the epitaxy process and to work in an emerging and exciting area of combining AI/machine learning