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degree (2.1 +/MSc) in mechanical / civil / environmental engineering, physics or a related quantitative field; strong computing skills (Python/MATLAB/GIS); interest in transport or urban futures. Position
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module sequence) • Research Design for the Social Sciences • Computer Programming for Social Sciences (taught using R and Python) As well as at least one of the following: • Introduction
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this ambition. The ideal candidate will have a strong background in energy modelling, industrial energy use, or a related field, along with proficiency in relevant computational tools (e.g., Python
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of computer science, mathematics, applied mathematics or statistics. Applicants must demonstrate proficiency in machine learning or statistical modelling and have some experience with computing through Python, R or C
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: Applied Statistical Analysis (taught using R, two module sequence) Research Design for the Social Sciences Computer Programming for Social Sciences (taught using R and Python) As well as at least one of the