413 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" Fellowship positions in United Kingdom
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or lars.johanning@plymouth.ac.uk For more information on School of Engineering Computing and Mathematics please visit our dedicated webpage at https://www.plymouth.ac.uk/schools For this role, you will need to be
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insurance Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more As London’s Global University, we know diversity fosters creativity and innovation, and we want our community
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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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. For information about the School of Mathematical Sciences and active research themes see: http://www.nottingham.ac.uk/mathematics/index.aspx . If you are interested in this position, please click Apply Now and
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Rehan, Research Fellow Contact Details: zunera.2.khan@kcl.ac.uk Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405332/clinical-research-f… Requirements Additional Information
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irradiated materials. This work will be under the supervision of Prof. Enrique Jimenez-Melero, UKAEA Joint Chair in Materials for Fusion (https://www.birmingham.ac.uk/staff/profiles/metallurgy/jimenez-melero
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available at : https://www.mygov.scot/pvg-scheme Disclosure Scotland The post for which you are applying is considered to be a child care position in terms of The Protection of Children (Scotland) Act 2003
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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-record in mentoring and supporting the development of early-career researchers. The profile and research interests of the group may be found at: https://www.birmingham.ac.uk/research/centres-institutes
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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during