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independently under supervision and as part of a multi-disciplinary team Enthusiastic to grow and develop as a researcher Qualifications Research Associate Awarded PhD in Statistics or a closely related
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leveraged for this work i.e., unsupervised learning, data clustering including statistical modelling and estimation, noise and heterogeneous information fusion, and multiple-source localization and tracking
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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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