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Supervisory Team: Prof. Gennaro Scarselli PhD Supervisor: Gennaro Scarselli Project description: Carbon fiber reinforced plastics (CFRPs) are popular in engineering applications due
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Supervisory Team: Prof Middleton, Prof Altamirano PhD Supervisor: Matt Middleton Project description: Black holes grow by accreting material through a disc which is bright across the EM spectrum
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Research Office Location: Newport, Shropshire TF10 8NB Post Type: Full Time Contract Type: Fixed Term - 36 Months Closing Date: 23.59 hours BST on Sunday 20 July 2025 Reference: PHD-SELF-OCT-2025
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calculations of well-characterized 2D materials, simulations of electron microscopy images, and machine learning methods to reconstruct the 3D atomic positions of materials from a 2D microscopy image. The
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
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catalytic process. In addition, it is important to improve the student the experimental skill, materials characterization skill and data analysis skill. Student who joins our group will learn the fundamentals
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. The system will leverage cutting-edge techniques in Natural Language Processing (NLP), Machine Learning (ML), and Multimodal Analysis to conduct adaptive interviews, assess candidate responses, and generate
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- and time-specific innervation that extends into adolescence. Our lab has used whole-brain tissue clearing, light-sheet imaging, and machine learning to map the spatial and temporal dynamics of serotonin
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, these systems serve as complex functional approximators trained over an input-output data set. ‘Second Wave AI’ is the term used to describe the current glut of 'machine learning' style intelligence, where
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/ year) and cover tuition fees at the Home UKRI rate. Proposed start date: 21/09/2024 to 01/01/2025 Duration of project/funding: 3.5 years We are pleased to present an exciting PhD opportunity in