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usefulness of the forecast, and perception of forecast performance by the public. Statistical post-processing techniques can help to reduce forecast errors by training machine learning models on data sets
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EPSRC CASE Studentship. University of Sheffield and Syngenta Crop Protection Machine learning is increasingly used for decision making and molecular design in the pharmaceutical and crop protection
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, equipment, and travel related to the project. Overview Machine learning aims to transform the drug discovery landscape through the prediction of potential new therapeutics with unprecedented speed and
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Turing University Network) and the CitAI Research Centre (which features academic staff with extensive expertise in machine learning for healthcare). They will also be able to exploit the power of Hyperion
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sustainability analysis through a machine learning (ML) and explainable artificial intelligence (XAI) outlook. The project marks a significant advancement in improving public safety against both low-probability
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-visible-spectrum reflectance). This project brings together statistical modelling of the data-generating process with machine learning, including deep learning, techniques, to model and predict bumblebee
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and reliability of offshore wind turbines through advanced digital twin and machine learning technologies. This project will investigate existing digital twin and machine learning models and find
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. This PhD project will take advantage of recent developments in machine learning methods, to enable computer modelling of the mechanical behaviour of titanium alloys to produce a machine learning-based
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Award summary 100% Home fees covered and a minimum tax-free annual living allowance of £18,622 (2023-24 UKRI rate) Overview One of the main issues with machine learning algorithms is that
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Machine Learning. Candidates must have an MSc at distinction level (or equivalent) in applied mathematics, numerical analysis or similar and be eligible for UK fee status. Candidates should have a solid