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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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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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candidates’ intellectual, ethical, and spiritual life to enable them to become effective leaders in the community. Student type Current Students Faculty Centre for Aboriginal Studies Faculty of Business and
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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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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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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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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