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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a technology transfer
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The intersection of reduced order modeling (ROM) techniques and machine learning (ML) represents a critical advancement in computational science. Traditional ROM methods have evolved significantly since
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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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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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government’s Advanced Modular Reactor (AMR) programme has recently identified HTGRs as the preferred design for future advanced nuclear deployment in the UK, with an aim to deliver a demonstration reactor by the
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Université Paris-Saclay GS Sciences de l'ingénierie et des systèmes | Gif sur Yvette, le de France | France | about 2 months ago
or related fields. The student should have taken at least a course in Finite element Method and Numerical Methods and entry level courses in physics and materials. Large computations will be developed, and
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algorithms in the context of sparse tensor operations and apply them to real-world datasets. Parallel Computing: Explore opportunities for parallelism in the tensor completion process to enhance computational
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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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applications in real world data sets. We are also interested in exploring opportunities for parallelism of the completion process, highlighting the potential for significant speedup in computations. Job