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which research focuses mainly within the research programmes (1) Algebra, Geometry and Mathematical Physics, (2) Pure, Applied and Numerical Analysis, and (3) Stochastics and (4) Discrete Mathematics and
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research and teaching in applied analysis, computational mathematics, data science, discrete mathematics, financial mathematics, stochastics, and statistics. The Department of Applied Mathematics is the only
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with measures on sample efficiency. Important aspects of ongoing research is using different lifting techniques to extend results for linear-quadratic systems to more general nonlinear systems. Who we
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to postdoctoral mentorship and supports independent career development for successful candidates. For Pre-Fire domain, we seek candidates with strong background in engineering risk, reliability, and stochastic
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outcomes under different market design scenarios. The research will combine machine learning, stochastic optimization, and agent-based modelling with behavioural experiments. Case studies from emerging