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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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The Rosalind Franklin Institute (The Franklin) is the national institute for technology development for the life sciences in the UK – funded by the government through UK Research and Innovation
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. Please note that, due to funding restrictions, this studentship is only available to UK (home fees) citizens. Start date – 1 October 2026 Application Process Informal enquiries may be addressed to: Dr
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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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of the technique to complex organic substances. About HetSys: Harnessing Data, Modelling and Simulation for Real‑World Impact HetSys (Centre for Doctoral Training in Modelling of Heterogeneous Systems
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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
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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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operational constraints of complex HVDC infrastructure, drawing on real-world insights into converter stations, auxiliary systems, and system availability factors. The role will involve developing data-informed