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Location: Mechanical and Aerospace Systems Research Group, Faculty of Engineering, University of Nottingham Funding: UK Home fees + tax-free stipend of up to £25,000 p.a. for 4 years Applications
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The Crop Innovation Centre - Skills, Technology And Research Training Programme (CIC-START) is an industrial doctoral landscape award (IDLA) funded by BBSRC that tackles skills shortages in UK
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Job title: Fully Funded PhD Studentship Package: Three-year studentship Job category/type: Research Fully Funded PhD Studentship in Responsible AI for Interview Assessment and Candidate-Organisation
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trajectories of the weather system exhibiting extreme weather events. The ECMWF machine learning division has agreed to provide data and support the project in adapting their in-house intermediate-resolution
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potential in ultrasensitive detection, nanoscale electronics, and medical imaging, but finding promising molecules for these applications is challenging because exceptional optical and electronic performance
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maintaining accuracy. Although such approaches are widely used, there is still much theoretical development needed to assess the accuracy and efficiency of these approaches. This project therefore seeks
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for UK Home students is available at the University of Bedfordshire to develop cutting-edge multimodal AI technologies that could transform the early detection of neurodevelopmental disorders and improve
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complex physical systems to perform tasks such as prediction, classification, and signal processing. However, one major challenge remains: We still do not fully understand what makes a reservoir computing
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vulnerabilities) hardware, software and services are connected, often on-the-fly, due to millions of user interactions. This is compounded by complex and changing supply chains with varying levels of security
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PhD Studentship: Bottom-up Decoding of Protein Conformational Landscapes: from Gas-phase to Solution
About the project: Bottom-up Decoding of Protein Conformational Landscapes: from Gas-phase to Solution Supervisor: Prof. Scott Habershon, University of Warwick Protein folding is a dynamic, complex