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the working group focus is the analysis of nonlinear wave and dispersive equations. Our ideal candidate already has experience with methods of PDEs, in particular Harmonic Analysis, and is able to actively
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of surfactant and lipid systems. The research focus includes problems such as cavitation, foam stability, and surfactant-mediated interfacial processes. The work will involve MD simulations, numerical analysis
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. The project involves numerical modeling to investigate the physico-chemical processing of radioactive iodine emissions as they disperse in the atmosphere. Understanding these processes, and especially
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sheath). Candidates with strengths in theoretical modeling, asymptotic analysis, or numerical simulations are also encouraged to apply. Required Minimum Qualifications: PhD in Mechanical Engineering
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transfer This research combines advanced numerical simulation and artificial intelligence to develop predictive models for high-temperature multiphase flows, with specific relevance to steel casting
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, develop and implement complex test cases, perform system testing and analyze results. Participate in critical analysis of existing systems and processes, and identify opportunities for process improvement
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high-performance classical simulations, working at the interface between quantum theory, numerical methods, and large-scale scientific data analysis. The position is not limited to quantum computing and
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of numerical simulation is a plus. Good oral and written communication skills in English (delivering presentations, writing scientific articles). Website for additional job details https://emploi.cnrs.fr/Offres
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
are for the following areas of investigation: Numerical analysis of helical piles under lateral loading – involving the investigation of the behaviour of helical piles through the back-analysis of physical tests
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, version control) and numerical workflows. Experience programming for data analysis and model workflows (e.g., Python, MATLAB; FORTRAN/C familiarity for model configuration). Demonstrated verbal and written