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optimization, as well as process simulation, modelling, design and optimization Developing, leading, and sustaining international scientific and industrial collaborations. Qualifications The professor must have
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a degree, official transcripts are required upon hire. An unofficial copy of the degree/transcript is acceptable during the application process and must be attached to the online application
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Ecole Nationale des Ponts et Chaussées (ENPC) | Champs sur Marne, le de France | France | about 1 month ago
-018-9301-4 Guayacán-Carrillo & Sulem, 2024. Comp & Geotech, 171, 106355. https://doi.org/10.1016/j.compgeo.2024.106355 Orgogozo et al., 2023. Computer Physics Communications, 282, 108541, https
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description International selection procedure
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in process engineering, design of experiments, numerical simulation, thin film characterizations by a combination of structural, chemical and physical methods (XRD, Raman, IRTF, SIMS, XPS, Ellipsometry
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immunology. Job Duties Develop and analyze mathematical models (primarily ODEs, but also PDEs and stochastic models) of viral replication and immune processes. Implement simulations and perform computational
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Title of the project: "Numerical simulations of galaxy collisions
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Department of Pharmacology at the University of North Carolina – Chapel Hill (https://www.med.unc.edu/pharm/directory/yinglong-miao/) is looking for a highly motivated Postdoctoral fellow to work
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operation. To design optical metasurfaces and material platforms exhibiting time-varying responses. Using adjoint-based optimization and spatial structuring, to realize complex time-modulated medium dynamics
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for multilayer tunable metasurfaces that captures the key electromagnetic coupling effects between layers and enables fast prediction of their tunable response without relying solely on full-wave simulations