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skilled Research Assistant/Associate to lead our research efforts in developing data visualisation and interactive dashboard technologies within an integrated digital twin environment. The candidate will
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, Daimler, project will be leveraged. Moreover, knowledge on data-driven decision making from The ReLiB Project (Faraday Institution's flagship, £18m, research project on challenges of re-using and
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package; plus the opportunity to buy more, great pension schemes and a number of health and wellbeing initiatives to support you. Closing Date: 12 May 2025 The Role The Statistics and Data Science group in
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, and deliver data-driven design recommendations, directly impacting the efficiency and reliability of future electric powertrains. You must have experience working in industry or academia, hold a PhD in
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Accountabilities Characterising particles supplied by the project partners using Ocular Systems technology Developing a DEM model for predicting packing density Developing algorithms and methods for processing data