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@ddrc.org) 3rd Supervisor: Dr Elsa Fouragnan (elsa.fouragnan@plymouth.ac.uk) 4th Supervisor: Dr Helen McKenna (helen.mckenna@plymouth.ac.uk) Applications are invited for a fully funded 3-year PhD studentship
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the environment (mobile EEG and VR). The PhD student is welcome to work on one (or more) of the three aspects of the research programme, and I am open to discussing PhD student interests related to these research
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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
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Learning heat: Physics-Informed Fourier Neural Operators for High-Fidelity Thermal NDE Modern non-destructive evaluation (NDE) increasingly relies on AI models that can reason with physics, scale
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costs [1]-[5]. Building on these previous findings, this PhD project will design a new MARL architecture that incorporates model uncertainty, cyber-attack scenarios, and network reconfiguration events
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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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neural network attention)? and as the (c) drone’s third-party company owner, one may want to know what the problem with images, or their pre-processing was that cause the wrong decision. The statistical
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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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techniques for modelling and monitoring the infusion and curing process and this PhD will bring these elements together to form a digital twin of the process. This digital twin will be used to predict
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methodologies compatible with epidemiological principles to produce high-quality evidence and tools. In this inter-disciplinary PhD project, you will collaborate with other researchers from the NCSR in the above