-
statistical analysis and/or coding (e.g., R, Python, C++) Exposure to neurophysiological measurement methods (e.g., eye-tracking, pupillometry) Interest or training in technology law, digital regulation, or AI
-
half years to complete. Ideal candidate This PhD research opportunity would suit someone with a strong quantitative background (e.g. econometrics, statistics), and an interest in applying their skills
-
), singular optics, using electrons, atoms and light and the exploration of complex systems using statistical field theory. "Catastrophes on order-parameter manifolds" (with Dr Alexis Bishop and Dr Timothy
-
models that can forecast the likely outcomes of current practices. The project aims to develop cutting-edge machine learning and statistical risk prediction techniques to predict each short-term, long-term