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Field
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-weather perception for which Radar sensing/imaging is essential. This project focuses on developing algorithms, using signal processing/machine learning techniques, to realise all-weather perception in
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on biological tissues and medical image processing. The studentship includes many opportunities for the candidate to build their professional network by presenting their work at conferences and discussing
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techniques. The findings will lay the groundwork for clinical application and contribute to the development of targeted therapies for resistant bacterial infections. Approach and Methods Atomic force
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17 Nov 2025 Job Information Organisation/Company Swansea University Department Central Research Field Medical sciences » Health sciences Researcher Profile First Stage Researcher (R1) Positions PhD
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NILM architectures, a distributed learning framework, and an industrially validated prototype, backed by publications, codes, and a clear path to further development and commercialisation opportunities
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are poised to re-define our future mobility. However, full autonomy is not possible without all-weather perception for which Radar sensing/imaging is essential. This project focuses on developing algorithms
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devices for medical imaging and reaction monitoring, as well as for the development of sustainable photocatalysts. In this role you will develop machine learning (ML)-accelerated quantum mechanics in
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personalities who need space for their continuous striving and curiosity in order to be able to be scientifically successful. The advertised position is allocated to the Faculty of Life Sciences at the University
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larvae, with their translucency, provide a powerful platform for live imaging of cell–cell interactions at subcellular resolution. Using lineage-specific fluorescent reporter fish, we have observed close
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will also work closely with our industrial partner on process engineering for a scalable prototype facility and product output testing. The successful PhD student will be supervised by Prof Anh Phan from