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of the appointment, providing the first empirical demonstration of the WaveGuard system. In addition to experimental work, the postdoc will contribute to the numerical design and optimization of the metamaterial
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, independent research, and the ability to work professionally with minimal supervision and direction ● Strong computational background ● Methodological expertise in one or more of: numerical optimization
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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site, the Pprime institute is recruiting a researcher to work on of constant or modulated circulation around moving airfoils. The project aims at defining and optimizing blade kinematics in order to
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date). Strong background in power systems analysis (OPF, state estimation) and numerical optimization/control. Proficiency with Python/MATLAB and power-system toolchains (e.g., MATPOWER/OpenDSS
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multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor
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system modelling frameworks to real-world challenges at different temporal andspatial scales. You will work on practical problems ranging from the design of building-level energy solutions and municipal
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about changes in enamels manufacturing methods. A key objective of this project will be to assess to which extend data science numerical tools could help us for processing large datasets of different
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programme will proceed in three main phases. In the initial phase, you will develop and optimize physical and numerical models describing the electron optics of the complete probe-forming column, including
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is the study of complex systems, by means of the analysis of real-world data, their modelling through mathematics and numerical simulations, and their control and optimization. The different poles