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equations (PDE). Examples of models in the scope of the project include particle models, stochastic PDE and models from fluid dynamics and machine learning. What skills are important in this role
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courses on topics such as differential equations, complex analysis, measure theory, probability, or stochastic processes. The faculty member should have a strong potential for collaborating in current and
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courses on topics such as differential equations, complex analysis, measure theory, probability, or stochastic processes. The faculty member should have a strong potential for collaborating in current and
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or actuarial mathematics, such as extreme value theory, inference for stochastic processes, optimization theory, and/or Monte Carlo simulations. The duties primarily involve research and teaching within
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hidden semi-Markov chains (HSMCs) have long been a central focus of stochastic modelling within our laboratory. Our work has produced theoretical and methodological advances (asymptotic, statistical
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for quantum system modeling. Probability and Statistics: Stochastic processes, distributions, and Monte Carlo methods for material defect analysis. Research Responsibilities: Develop mathematical models
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and interactions in neutron systems. Probability and Statistics: Stochastic processes applied to neutron diffusion simulations in materials. Research Responsibilities: Mathematical modeling of neutron
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, Denmark [map ] Subject Areas: Nonparametric estimation, Machine learning methods in econometrics and time series analysis, Statistics for high-dimensional data, Stochastic volatility models Appl Deadline
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electromagnetic cascade to be obtained. The initial results obtained with a small prototype subjected to cosmic rays and particle test beams at CERN are promising. They show that a stochastic sampling term of order
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the start date. This position is part of the research project “Numerical Analysis of Stochastic TRANsport” (NASTRAN), funded by the Research Council of Norway. The project’s goal is to develop mathematical