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or similar technical discipline. Other qualifications in disciplines related to the PhD topic will also be considered. Knowledge & Experience Essential Good mastery of Python programming Strong
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of both qualitative and quantitative research methodologies Desirable Experience with software packages such as Python, R, Stata, NVivo Skills &Competencies Essential Applicants whose first language is not
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, resilient networking and fault-tolerant systems (detection, isolation, recovery). Proficiency in Python for rapid prototyping, data analysis, and simulation (e.g., NetworkX, numerical optimization, agent
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theory. Proficiency in Python for rapid prototyping, data analysis, and potentially using libraries for network science (NetworkX) or agent-based modelling. Flexibility to travel and engage fully in
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statistical methods. Proficiency in Python with libraries like NumPy, SciPy, QuTiP and Matplotlib for calculations, optimizations, quantum simulation and visualization. Flexibility to travel and engage fully in