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degree in computer science and: You have a good knowledge of C++ You have skills in software engineering. You are familiar with common development environments and associated tools Knowledge of parallel
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groups, and a laboratory for research and innovation in the application of advanced computational and data intensive research methods, working in partnership with academics from all fields. We are a home
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for small and medium precisions, while exploiting the parallelism (SIMD and multicore) inside modern computers. • Better determine the scope of the symbolic-numerical approach when applied to exact
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learning Demonstrated expertise in software and algorithm development, computational methods, data analysis, modeling, machine learning, high-performance and parallel computing, or scientific simulation
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Institut Charles Sadron (CNRS/Université de Strasbourg) | Strasbourg, Alsace | France | about 2 months ago
(CMD) method that mimics the projected dynamics directly in the simulation. Through two parallel doctoral theses, we seek to create the CMD method, to make it publicly available by implementation in
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parallel doctoral theses, we seek to create the CMD method, to make it publicly available by implementation in the opensource LAMMPS code for high-performance computing, and to apply CMD to explore
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optical flow analysis, exploiting relevant metrics and adaptive regularizations, and parallel iterative algorithms adapted to GPUs. Method parameters will be chosen to achieve the best compromise between
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@onera.fr Requirements Research FieldMathematics » Computational mathematicsEducation LevelMaster Degree or equivalent Skills/Qualifications Experience in numerical methods for PDEs and an affinity
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activities will be hosted by the Parallel Computing and Optimisation Group (PCOG) at SnT, headed by Dr. Grégoire Danoy. PCOG specializes in optimization techniques, with a focus on distributed computing and AI
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the University of Luxembourg in international research forums, fostering collaboration and visibility Participate in teaching activities The research activities will be hosted by the Parallel Computing and