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. Our implant combines photonics, microelectronics, embedded systems, advanced implant probe design and signal processing. There are opportunities for students from a variety of backgrounds to work on the
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differential equations and boundary conditions describing heat and fluid flow will be embedded directly into the learning process to constrain model training and reduce data requirements. Time- and space
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reservoirs. By embedding governing equations and boundary conditions directly into machine-learning models, the project aims to enable efficient exploration of high-dimensional parameter spaces without
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models, in-house laboratory tests in a wind-wave-current flume (https://research.ncl.ac.uk/amh/ ) and numerical methodology to quantify biofouling impacts on flow-induced vibration phenomena, structural
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their operational reliability. The PhD student will combine mathematical models, in-house laboratory tests in a wind-wave-current flume (https://research.ncl.ac.uk/amh/ ) and numerical methodology to quantify