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must have a PhD in Geotechnical Engineering, or a related field with a focus on one or more of the following: Centrifuge experimental testing (design, execution, and data interpretation) Numerical
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Lehrstuhl für Angewandte und Computergestützte Mathematik | Aachen, Nordrhein Westfalen | Germany | about 16 hours ago
links to the groups of numerical analysis at IGPM and uncertainty quantification at UQ. Some of our PhD students and Postdocs are associated with the research training group Energy, Entropy and
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, applied math or computational physics. Experience/knowledge in fluid mechanics and in the analysis and numerical solution of systems of partial derivative equations is expected. Previous experience in
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; https://cordis.europa.eu/project/id/101087562 ), the postdoctoral researcher will be responsible for characterizing metal-rich meteorites, particularly primitive achondrites, using scanning electron
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. Experience in numerical modeling is an asset. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8520-YANPEN-008/Default.aspx Requirements Research FieldEngineeringEducation LevelMaster Degree
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analysis, with access to high-performance computing facilities. The candidate will interact with researchers working on nanofluidics, interfacial phenomena, and transport processes, and may collaborate with
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 05, le de France | France | about 16 hours ago
exposure to numerous chemical substances present in the environment, food, and everyday products represents a major public health concern. This set of exposures, referred to as the chemical exposome, is
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Description The Division of Science at New York University Abu Dhabi is inviting applications for Postdoctoral Associate positions in the broad research areas of mathematical analysis and partial
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qualitative and quantitative analysis methods - Fluency in written English (and, if possible, spoken English) - Strong adaptability and ability to work in a team Website for additional job details https
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Experience with: Structured population models, Multiscale modelling, Numerical analysis of PDEs, Machine learning for parameter inference, Model calibration and sensitivity analysis. Familiarity with systems