540 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at University of Sheffield
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) or MSc (Merit or Distinction) in a relevant science or engineering subject from a reputable institution. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse
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migration. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Self or externally funded students only. References Nazemi et al., PLOS
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. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Self or externally funded students only. References Nazemi et al., PLOS Biology 2024
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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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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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combination of physics-based, and data-driven AI-based approaches employing neural-networks and machine learning, this project will develop and validate a multi-time scale DT concept for advanced condition
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the University of Sheffield online application portal for postgraduate research in Chemistry: https://www.sheffield.ac.uk/postgraduate/phd/apply When completing your application, please specify Dr Marco Conte as
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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