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Geography, and the like Demonstrated analytical, programming, or numerical methods skills (e.g., C++, Fortran, Python, R, Matlab). The candidate must be fluent in written and spoken English and Portuguese
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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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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 16 days ago
of numerical simulations and digital twins. By using advanced machine learning methods, such as Physics-Informed Neural Networks (PINNs) and Variational Physics-Informed Neural Networks (vPINNs), the project
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optical and photoacoustic nanoscopy methods for biomedical applications and study of underlying physical phenomena Experimental and numerical study of light-sound-matter interactions Participation in
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writing and speaking, and training in interview methods and other social science qualitative research methods. Past experience conducting social science qualitative research and writing journal articles is
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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
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Ordinance nr. 33/2019, of January, 25th. It is mandatory to present the certificate to sign the contract. More information is available on: https://www.dges.gov.pt/pt/pagina/reconhecimento Workplan and the
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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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, including semiconductor heterostructures, graphene, van der Waals materials, and topological insulators; - knowledge of advanced computational, theoretical and numerical methods for studying electronic and
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the development and coupling of numerical methods for solid mechanics modeling Experience in digital rock technology, including advanced imaging and related analysis Experience in the performance of high pressure