532 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" uni jobs at University of Sheffield
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use Kristin Lohwasser and Trevor Vickey as 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
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T.Vickey@sheffield.ac.uk or look at the University’s website: https://www.sheffield.ac.uk/postgraduate/phd. Further Information on the Particle Physics group in Sheffield and our projects can be found here
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of materials (e.g., DSC, mechanical testing). Excellent experimental, analytical, and communication skills. How to Apply Please submit your CV, academic transcripts, via the portal at https://sheffield.ac.uk
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Fully-funded EPSRC CDT in Machining, Assembly and Digital Engineering for Manufacturing (MADE4Manufacturing) School of Mechanical, Aerospace and Civil Engineering EPSRC Centre for Doctoral Training
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Application form available here: http://www.shef.ac.uk/postgraduate/research/apply Please clearly state the prospective main supervisor in the respective box and select School of Clinical Medicine as the
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: https://www.sheffield.ac.uk/postgraduate/phd/apply/english-language. How to apply: Please see this link for information on how to apply: https://www.sheffield.ac.uk/cbe/postgraduate/phd/how-apply. Please
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, increased carbon dioxide, rainfall and snow regime change and how these impact the biodiversity of ecosystems, and the capacity of ecosystems to cycle carbon and nutrients (https://sites.google.com/a
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at the University of Sheffield. There will be many opportunities to collaborate with ongoing work in the lab. For more details see http://www.alisonewright.co.uk. Applicants are strongly encouraged to contact Dr
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of agricultural weeds to herbicdes from an eco-evolutionary perspective. This project will develop models for the evolution of herbicide resistance that combines field data and computer models. The aim is to
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, the project proposes to also use machine learning techniques to learn parts of the prior and penalty structure from data in an interpretable way. Examples include mapping liquidity and volatility features to a