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of machine learning emulators for enhancing the above processes in speed and accuracy PolyChord Ltd is a spin-out company (SME) from the University of Cambridge, transferring technology from academia
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a spin-out company (SME) from the University of Cambridge, transferring technology from academia to industry, with current applications including rail monitoring, sensor placement optimisation
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for Sustainable Road Freight (SRF, www.csrf.ac.uk ) at Cambridge University Engineering Department. The research will be supervised by Dr. Xiaoxiang Na and co-supervised by Prof David Cebon, Director of SRF
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for Sustainable Road Freight (SRF, https://www.csrf.ac.uk/ ) at Cambridge University Engineering Department. The research will be supervised by Dr Xiaoxiang Na and co-supervised by Prof David Cebon, Director of SRF
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for the Prediction of Base-Isolation Performance: A range of simplified models will be developed based on current research into effective building/foundation impedance modelling. This will take advantage
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Zero target. This project addresses this by redeploying and extending current data-driven design methods for axial machines to cover this space. Current data-driven design tools suitable for axial
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to develop a new material with current methods. We need to innovate faster, as the pace of global change accelerates. This is where you come in…… We are seeking graduate scientists and engineers keen to
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this interdisciplinary research, you will not only benefit from the expertise from University of Nottingham, but also work closely with our collaborators (e.g. University of Cambridge). Aim The overall aim will be