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healthcare settings. Approach and Methods: Synthesize gold nanostars with optimised optical and surface properties for enhanced plasmonic signal amplification Engineer LFA architectures incorporating salt
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. By integrating artificial intelligence (AI), multi-sensor fusion, and cognitive systems, the research will pioneer robust navigation architectures. These improvements are key to making future transport
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will also be provided. Overview This project will develop an adaptable Machine Learning (ML) hardware architecture to solve Artificial Intelligence (AI) classification tasks using Internet of Things (IoT
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an adaptable Machine Learning (ML) hardware architecture to solve Artificial Intelligence (AI) classification tasks using Internet of Things (IoT) sensor data. This will be a small system-on-chip designed
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frequency regulation, energy scheduling, and overall smart grid system optimization. Moreover, such complex interconnections between power system dynamics, communication networks, and information technology
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, visions and concerns in innovation. Entry requirements The standard minimum entry requirement is 2:1 in Geography, Sociology, Political Science, Anthropology, Design, Architecture, Engineering, Computer
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. By integrating artificial intelligence (AI), multi-sensor fusion, and cognitive systems, the research will pioneer robust navigation architectures. These improvements are key to making future transport
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methods that are data-efficient, reliable, and deployment-ready. Aims Advance operator-learning architectures for transient heat transfer in complex geometries, integrating physical priors (PDE structure
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The Cambridge Sustainable Design Group within the Department of Architecture invites applications for the role of Research Assistant/Associate in Thermal Infrared Remote Sensing for Decarbonisation
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enhanced electrochemical sensing, field-responsive coatings, and energy-harvesting architectures. The candidate will use advanced fabrication, microscopy, and spectroscopy techniques, and work within an