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Field
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follow all safety protocols, properly recording data from experimental and numerical research and promptly backing up all data. -While in this position you may also have the opportunity to teach courses
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the development of ballistic protection panels using computational numerical methods, and to validate your results by comparison to experimental tests of the designed panels. Your activities will include
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), numerical methods, and basic knowledge of material science. It is meriting to have one or more of the following skills/qualities: experience and/or thorough understanding of theoretical/numerical methods
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live in. Your role Research related to the following areas: Mathematical statistics, Machine Learning, High-dimensional statistics, Robust estimation methods, Probabilistic foundations of mathematical
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under the faculty mentor's supervision ensuring all lab members follow all safety protocols, properly recording data from experimental and numerical research and promptly backing up all data. -While in
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learning with a background in robust and embedded control, aerospace systems and physical modelling, as well as in artificial intelligence-related concepts, computer vision and numerical optimisation
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arising from solid/fluid dynamics/geomechanics, and numerical methods for partial differential equations, especially finite difference methods and finite element methods, both theory and applications. A
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Do you have experience with modelling structures subjected to dynamic loading? Are you interested in data-driven methods for modelling applied loading? Are you eager to share your knowledge within
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bases and instruments in terms of their efficiency and incidence Applied game-theoretic modelling based on 1) and on numerical estimates of the benefits that potential donor countries derive from
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backgrounds and lead annual fieldwork activities for sample collection. Opportunities to travel to conferences and project meetings are also available. This position provides numerous opportunities