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numerical simulations on NYUAD’s High-Performance Computing (HPC) system. Support preparation of scientific manuscripts and presentations: Assist in drafting reports, papers, and conference materials
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The Applied Mathematics and Computational Sciences (AMCS) program in the Computer, Electrical and Mathematical Sciences and Engineering Division (https://cemse.kaust.edu.sa) at King Abdullah
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and numerical models as well as constitutive model calibration and validation based on physical experimental data. Required Qualifications: A successful applicant must have a PhD in Engineering
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Center for Astrophysics | Harvard & Smithsonian | Cambridge, Massachusetts | United States | about 20 hours ago
world-class scientists, contribute to current and on-going research, and develop essential skills in data analysis, numerical modeling, and scientific communication. With personalized mentorship, access
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Job Purpose To make a leading contribution to “Numerical Modelling of Superconducting Cables” working with “Propulsion, Electrification & Superconductivity” group in the research disciplines
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. Propose, develop, and test enhancements (e.g., shock-capturing strategies or improved numerical schemes). 3. Idealized supersonic flow simulations: Using the optimized code, conduct idealized simulations
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Environment (UMR5300; https://crbe.cnrs.fr/en/ ) is internationally recognized for its research on the interaction between the environment and biodiversity using genetics. Numerous projects are being developed
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trips, plus an elective course. Examples of elective courses could include aqueous geochemistry, geomorphology, soils, glaciology, GIS, or numerical modeling. We are seeking candidates who can demonstrate
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finding techniques, such as Newton's method, after adapted numerical discretization. There is a challenge in extending existing BVP schemes to reaction-diffusion problems, choosing suitable spatial and
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 19 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