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at the intersection of machine learning, bioinformatics, and computational pathology. Project Overview: Integrating histopathological imaging with omics (e.g., transcriptomics, genomics, proteomics) holds tremendous
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that respond to stimuli. You will develop the materials, methods, and designs necessary to 3D-print the next generation of structural colour devices, integrating optically- and electronically-active materials
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performance and university-specific criteria. Integrating multimodal analysis (voice tone, facial expressions, sentiment analysis) for holistic assessment. Ensuring fairness and bias mitigation in AI-driven
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performance for next-generation power electronics. The project will be conducted at Swansea University’s Centre for Integrative Semiconductor Materials (CISM), a state-of-the-art facility dedicated
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, and help shape future funding and policy strategies in the UK and abroad. With this PhD, you will become an integral member of the EPSRC Centre for Doctoral Training in Water Infrastructure and
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, this project will further investigate the optical and thermophysical properties of ceramic moulds—critical for predicting heat flux during casting and improving microstructural integrity. The work will explore
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the development of system software. Key questions include how LLMs can support programmers in writing complex logical code, generating high-quality tests, and optimizing performance. Moreover, when integrated with
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the integration of research findings into the broader Sliding Lands project. Key research objectives include: Building a time-series data cube of landsliding across New Zealand using satellite imagery archives
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integrate add-on solutions to overcome specific performance limitations of proposed deep-water solutions. These add-ons may include state-of-the-art devices such as dampers and energy-dissipative load
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relationship between brain structure, myelin distribution and genetic factors in MS. Research Focus: Recently, computational pipelines have been developed to integrate genetic and imaging databases