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private. This PhD will focus on three strands of work: 1) Innovate NILM model structures. Design efficient neural network architectures for both aggregator and client models that meet strict accuracy
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strategies can offset its negative effects on both metabolic and brain vascular health. This PhD provides a unique opportunity to develop a wide range of research and professional skills. The student will gain
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17 Nov 2025 Job Information Organisation/Company Swansea University Department Central Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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Develop an active learning-driven platform for compound selection and optimisation Integrate robotic sample preparation, automated data acquisition, and computational analysis Advance five existing
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From safer surgery to sustainable factories and net-zero supply chains, we increasingly rely on robots to do work that is difficult, repectitive, or chronically understaffed. To be truly useful
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ultrafast, energy-efficient magnetic switching, a key step toward faster and greener computing. This PhD will pioneer THz spintronics — a new frontier where ultrafast optics meets magnetism. Using femtosecond
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for scientific publishing, international conference presentations, and professional development through the supervisors’ extensive networks in academia and industry. Research Environment: The project is hosted
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-performance computing and simulation-based inference (e.g. neural network emulators or nested sampling) Training will be provided in all aspects of the project, including computational statistics, stellar
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principles molecular dynamics simulations. You will contribute to the development of novel work flows as well as to the training, testing and application of latest neural network methodologies. Applications