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. The successful applicant will be expected to design and implement analytical and interpretability frameworks to investigate the internal representations and decision-making processes of machine learning models
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in machine learning and/or advanced analytical methods, experience working with complex or large-scale datasets, and strong programming skills (e.g., Python or R). You will be able to communicate
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. The successful applicant will be expected to design and implement analytical and interpretability frameworks to investigate the internal representations and decision-making processes of machine learning models
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in machine learning and/or advanced analytical methods, experience working with complex or large-scale datasets, and strong programming skills (e.g., Python or R). You will be able to communicate
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predictive control of carbon mineralisation through high-throughput mineralogy and machine learning.” This is an exciting opportunity to contribute to innovative research at the interface of mineralogy
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background in Accounting & Finance, Analytics, Technology and Operations, Economics, International Business, Management and Organisations, Marketing, or People, Work and Employment? Leeds University Business
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external partners, you will contribute to the production of high-quality analytical outputs and publish results in leading journals. The postholder will have substantial ownership over one or more core
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We have an exciting opportunity for a Research Assistant/Associate to make a contribution to an ERC-funded project "Dynamic network reconstruction of human perceptual and reward learning via
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Applications are invited for a Postdoctoral Research Associate in Machine Learning for Chemistry to work in the research group of Professor Volker Deringer at the Department of Chemistry. About the
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year-long module performance in the water industry; (ii) exploring whether machine learning, couple with transport informed models can be used to predict membrane fouling for specific applications