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in any area of Information Systems are encouraged to apply. Tangible experience in the teaching of programming languages, eg: Python, is an advantage. Candidates should set out how their research may
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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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to rigorously assess unconventional or early-stage models • Programming/simulation fluency (Python/NumPy, Wolfram, or similar) Bonus if you have: • Experience with information theory or entropy-based field
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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