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Field
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to develop into an internationally recognized researcher. Subject description Applied Geophysics includes studies of how the laws and methods of physics can be used to understand the properties of bedrock and
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Parametric integrators approximate solutions of (high-dimensional) partial differential equations by restricting the numerical approximation to a closed form that nonlinearly depends on, and is
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actuation and control. Although research has demonstrated stable levitation and contact-free pumping in laboratory-scale systems, reliable design methods for realistic industrial operating conditions remain
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Web of Science in the required fields of knowledge; c) Have experience in the development of optimization models and methods, as well as their implementation and testing. 5. Formalization
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inverse problems, as well as the development of numerical methods that can eventually be applied to large-scale wave-imaging problems. The PhD project will have a strong mathematical component. You will
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with, learning methods for robotics would be a plus • Experience with robotic systems and/or aerial robots is a plus Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5216-VIRFAU-064
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strong background in numerical methods applied to solid mechanics; good knowledge of materials science and experimental characterization techniques; excellent written and spoken English skills. Experience
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specific requirements: a) Experience in the application of data analysis and machine learning methods to scientific data (e.g. multivariate analysis, chemometrics, neural networks, classification
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stability assessment of converter-dominated transmission systems. The research combines power systems, numerical methods and scientific computing, with a strong emphasis on software development and practical
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methods that extend current sets of flood scenarios derived from physical and numerical models, incorporate climate change effects, and then use these enriched datasets to assess the future insurability of