567 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at University of Sheffield
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of synchronised states using analytical and statistical techniques. Funding Notes This project is for self-funded or externally funded students only. References 1. Synchronisation of rotating turbulent (https://www
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application form using the following link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying References https://sheffield.ac.uk/biosciences/people/academic-staff/claire-turner https://sheffield.ac.uk
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training opportunities designed to support your career development, including communication and technology skills that are essential in academia, and industry. Visit http://www.sheffield.ac.uk/sgs to learn
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Ability to lead and work in teams Essential Application/Interview Experience and capability in blast computational simulations using codes such as Viper:: Blast, machine learning, and/or LS Dyna Desirable
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contact persons. For further Information, please email k.lohwasser@sheffield.ac.uk and T.Vickey@sheffield.ac.uk or look at the University’s website: https://www.sheffield.ac.uk/postgraduate/phd. Further
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. This project will develop responsive manufacturing technology that will have sufficient flexibility to overcome such problems by utilizing intelligent machine learning to control the printing process in real
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The Faculty of Arts is internationally leading for its research (https://www.arts.kuleuven.be/english/research ), home to a broad array of specializations and notable for the strong connection it
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application form using the following link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying All applicants should ensure that both references are uploaded onto their application as a decision will be
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-to-phenotype mapping, and interactions with landscape processes. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Self or externally funded
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to learn cutting-edge techniques using the University of Sheffield’s world-class research facilities, including microscopy, high-throughput genomics and metabolomics. You will also learn how to integrate