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mathematics, such as extreme value theory, inference for stochastic processes, optimization theory, and/or Monte Carlo simulations. Experience in obtaining research grants in national and/or international
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to multiple methods used in financial or actuarial mathematics, such as extreme value theory, inference for stochastic processes, optimization theory, and/or Monte Carlo simulations. Experience in obtaining
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applications. Other topics include other new quantum symmetry-breaking and topologicallyordered states, unconventional phase transitions, and application of newly developed methods, such as Diagrammatic Monte
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, vortex matter, matter at ultra-high pressure, diagrammatic Monte-Carlo. We are interested in analytical and numerical approaches to fermionic and bosonic states. Examples of one of the directions in our
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qualifications Documented experience with data analysis and programming (e.g., Matlab, Python or R). Experience of risk assessment and/or decision analysis Experience of probabilistic methods such as Monte Carlo
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use Systems Biology methods to formulate a set of ordinary differential equations describing how genes regulate each other across the different organelles. Another approach is to use Monte Carlo
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the different organelles. Another approach is to use Monte Carlo simulations to explore which gene regulatory network architectures are necessary for robust regulation and effective communication between
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financial dynamics Apply machine learning and Monte Carlo techniques to simulate complex decision scenarios Contribute to a growing, interdisciplinary field that redefines biodiversity through the lens
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significant additional guidance by Assoc. Prof. Carlo Bortolotti at UNIMORE (https://personale.unimore.it/Rubrica/dettaglio/cabortol ). If you are passionate about advancing the field of organic bioelectronics
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description The candidate will work on problems at the intersection of mathematical statistics, machine learning, and generative modeling, particularly for sequential data arising in complex dynamical systems