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these challenges by developing, testing, and validating a systematic methodology to understand and quantify energy performance of battery electric HGVs, with a focus on the performance of vehicle traction battery
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computer science, electrical engineering or physics. Having a Master's degree in a relevant subject is highly desirable. Prior experience in quantum computing research is not required, but a willingness to
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students), to perform doctoral research in the development of modern antenna technology and radio instrumentation for GNSS-R and Radio Astronomy from space. The PhD candidate will join a multidisciplinary
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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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(FIBE3 CDT), under the four following themes: Current and disruptive technologies Circularity and whole life approach Al-driven digitalisation and data Risk-based systems thinking and connectivity
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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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. It will develop case studies identifying the specific makeup of the wastewater, what the current disposal method is, what the current source of hydrogen is, specific constituents which may be a problem