201 machine-learning-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield
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on machine learning for NLP, with applications in education, creativity, healthcare, social media, and finance. She specialises in educational NLP, EdTech, language acquisition, multilingual and low-resource
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extraction, as well as the model feature and machine learning based TCM into the framework of digital twins. This allows building up and updating a digital twin of machine tool dynamics via a completely data
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massive farming data over long-time scales. These long-term farming data brings more opportunities on leveraging emerging machine learning methods to examine the effects of multiple factors on crop growth
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Machine Learning-Guided Discovery and Experimental Validation of Novel Antimicrobials Against Pseudomonas aeruginosa (S3.5-MPS-Soukarieh)
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round Details This project explores how machine learning and artificial intelligence can transform the scholarly digital editing process, not only by potentially automating and enhancing editorial
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to AI, including deep reinforcement learning, human-in-the-loop machine learning, and multi-agent systems. Dr. Robert Loftin is a Lecturer in Machine Learning at the University of Sheffield. He received
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Development and Validation of a Multimodal Wearable Headband for Objective Bruxism Monitoring Using Machine Learning (S3.5-DEN-Boissonade)
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Digitalising populations of structural systems using machine learning (S3.5-MAC-Dardeno)
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Adversarial machine learning - Identification and prevention of cyber-physical attacks on infrastructure (S3.5-MAC-Champneys)
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with machine learning or image analysis. An interest in environmental sustainability or biodiversity conservation is highly desirable. Main duties and responsibilities Build and train initial AI models