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electromagnetismo. -Desarrollo de métodos numéricos para el diseño eficiente de dispositivos en electromagnetismo. Development of the following project tasks: - Implementation in C++ of numerical methods in
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date); Good knowledge of analytical methods and/or numerical simulations; Very good command of English, both written and spoken. Essential skills and abilities Experience in machine learning; A strong
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select
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particular, it should relate to one or more of the following areas: theory for spatial discretisations of PDEs, analysis and design of domain decomposition methods, numerical analysis for stochastic PDEs
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
code development or open-source contributions, polymer chemistry, and mathematics, modeling, or numerical methods. An established record of research productivity is highly desired. Special Physical
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Ecole Nationale des Ponts et Chaussées (ENPC) | Champs sur Marne, le de France | France | about 2 months ago
-Carrillo et al. 2024). Champaney et al., 2022. Int J Mater Form 15, 31. https://doi.org/10.1007/s12289-022-01678-4 Chinesta et al., 2020. Arch Computat Methods Eng 27, 105–134 https://doi.org/10.1007/s11831
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Institut Supérieur de l'Aéronautique et de l'Espace | Toulouse, Midi Pyrenees | France | 21 days ago
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computing environments. Experience with numerical modelling techniques, such as finite difference, finite element, or spectral element methods. Interest in inverse problem formulation and solving and/or
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research experience in computational biology, mathematical modeling, or immunology. Familiarity with numerical methods, parameter estimation, and data visualization. Some knowledge of probability and
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Efficient and Reliable Numerical Solution of Dynamic Optimization School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Yuanbo Nie Application Deadline: Applications