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and delay-differential equations. Scientific computing and numerical analysis Large-scale dynamical systems High-performance computing Parallel numerical algorithms GPU computing Strong programming
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, laboratory meetings, as well as at workshops and conferences covering the various aspects of the thesis: high-performance computing, numerical methods, and computational cosmology. An annual meeting of
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focused and research-active group with strengths in computational engineering, numerical methods, mesh generation and high-performance computing, with access to modern HPC resources and established
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or more of the following: Numerical methods for ordinary and delay-differential equations. Scientific computing and numerical analysis Large-scale dynamical systems High-performance computing
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 13 days ago
systems that are computationally more expensive to solve. For this reason, numerical methods that can produce a more accurate solution with the same mesh, time step, and order are advantageous. One
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element models. The activities will include the implementation and optimisation of simulation codes, including on parallel architectures and on the high-performance computing infrastructure of the
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postdoctoral appointee to develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel
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, parallel programming (MPI), job schedulers, scientific applications, numerical methods, debugging, profiling, optimization, or distributed file systems. Experience supporting modern machine learning
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and physical processes relevant to ocean circulation and dynamics. Experience with high-performance computing, parallel numerical models, large scientific datasets, scientific programming, and the
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description of the work duties, such as: Develop and implement GPU-accelerated thermal runaway models and numerical methods in OpenFOAM. Design and optimize computational frameworks for high-performance