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particle models, stochastic PDE and models from fluid dynamics and machine learning. What skills are important in this role? Qualification requirements: The Faculty of Mathematics and Natural Sciences has a
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Optimization expertise (linear/mixed-integer programming, stochastic optimization) and familiarity with simulation or decision analytics. o Experience with cloud/data engineering (APIs, ETL, data quality
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of partial differential 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
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the project: 1. Wave Stochastic Analysis and Hydrodynamics Conduct advanced stochastic analysis of wave environments to evaluate the performance of floating structures. Analyze hydrodynamic behavior of floating
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, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and logic. We have
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include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator
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in the theory and usage of high-level statistical data analysis techniques, including stochastic processes and machine learning; expertise in analytical and numerical modelling of gravitational-wave