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the PhD, in addition to assisting with data collection at other military locations. Essential - Candidates must hold a bachelor’s degree in physiotherapy or sports rehabilitation (³2:1), a master’s degree
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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. Alternative approaches are graph-based molecule reaction space sampling and generative machine learning as they provide a path to new synthetic data that can form the basis for a large-scale database of
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emerging photonic microdevices promising to revolutionise computer, communication, and sensing technologies must be performed with unprecedented picometre (one-hundredth of the atomic size) precision
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The Nottingham BBSRC Doctoral Training Partnership Four-year funded PhDs available in Sustainable Agriculture and Food Security, Bioscience for Human Health and Biotechnology for Sustainable Growth
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This PhD project aims to advance Safe and Sustainable by Design (SSbD) pharmaceutical manufacturing by integrating cutting-edge methodologies, including computer-assisted retrosynthesis, end-to-end
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Supervisory Team: Leonardo Aniello, Han Wu PhD Supervisor: Leonardo Aniello Project description: Blockchain and Federated Learning (FL) are two emerging technologies that, when combined, offer a
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The Nottingham BBSRC Doctoral Training Partnership A Four-year funded PhD available in Sustainable Agriculture and Food Security, Bioscience for Human Health and Biotechnology for Sustainable Growth
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, machine learning, and information-theoretic approaches to achieve robust, non-intrusive security for the ever-expanding IoT landscape. Feature Engineering for Encrypted Traffic: It is crucial to identify
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behaviours? The proposed approach will focus on developing a multi-agent AI framework that integrates traditional penetration testing methodologies with machine learning techniques and advanced generative AI