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- NTNU - Norwegian University of Science and Technology
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transport and neural (stochastic) differential equations, invariant Kalman filtering and geometric numerical integration. The application areas will be chosen among the use cases of the aiD canter
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on facility location, storage, processing capacity, procurement, and inventory management. The project combines: stochastic and robust optimization, uncertainty modelling, large-scale supply chain design, and
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reinforcement learning, stochastic optimization, and hybrid combinations of learning and optimization. Learning-based policies will be compared with equivalent rolling stochastic optimization benchmarks operating
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valued: nonlinear dynamics, condensed-matter physics, and stochastic processes. The ideal candidate is an experimentalist who enjoys not only setting up and performing complex experiments, but also
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of biophysics, non-equilibrium statistical physics, and cancer biology. Its objective is to understand how stochastic fluctuations and cell-cell interactions combine to drive the spontaneous emergence
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a stimulating scientific environment, with research focusing on Algebra, Geometry and Mathematical Physics; Analysis; Stochastics; and Discrete Mathematics and Quantum Information. The institute also
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integration, especially in molecular medicine; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time
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experience in statistical and stochastic modeling applicable to microeconomics, macroeconomics, finance, international economic relations and sustainability; previous experience within similar projects will be
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Requirements a) Strong skills in the areas of mathematical statistics, optimization, online learning, optimal control, and stochastic processes. b) Relevant experience in online learning theory, demonstrated by
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of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine learning in general. OCBE