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skills, social responsibility, and academic success. For more information: https://www.csus.edu/student-life/housing/ Minimum Qualifications Experience and Education: Equivalent to a bachelor's degree in a
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simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go
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experimental data and model analysis, for which we employ an array of research methods and numerical simulations. Applicants will join an active research group with frequent chances to co-supervise undergrad
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in a contract. Read your bargaining unit's employment contract, stay abreast of current negotiations and learn about collective bargaining at UC: https://ucnet.universityofcalifornia.edu/labor
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methods, anticipates, and manages obstacles, and measures of the team to foster innovation and continuous improvement. Apply By Date: February 12th , 2026 at 11:59 pm PST. Selection activity may begin at
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Eligibility criteria Numerical analysis and finite element method Solving anisotropic problems Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7340-SOPBAU-024/Default.aspx Work Location
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machine learning, numerical modeling, or both, and who want to develop innovative methods while advancing our understanding of the Universe. Main responsibilities The position involves research
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. Interpret and publish these results. - Test the tools developed on different data sets. - Test the technical and user documentation. - Monitor technological developments in the methods developed and the
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and step at appointment. See the following table for the current salary scale(s) for this position: (https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales/t24
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few. In this context, several numerical techniques have been proposed to track the continuous evolution of the binary fluids from an initially immiscible state to the miscible state[1] ,[2] ,[3