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in coding courses across the difficult transition from block-based systems (such as Scratch) to text-based systems (such as Python).Pytch is being used in secondary schools nationally and
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while contributing to a collaborative multidisciplinary research team including PhD students Desirable Skills: • Knowledge of data preprocessing and visualisation tools (basic R/Python is a plus
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project, also conducting similar work in other related projects as required. The candidate should be proficient in MATLAB, Excel, and Python to be able to use and adapt the existing suite of tools
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management and analysis, preferably with health data or in a clinical setting. Strong technical skills in statistical programming, including with R, Python or other software for interrogating data. Ability
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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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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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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