6,254 parallel-computing-numerical-methods-"Simons-Foundation" Postdoctoral positions
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following: (a). Analytical methods, e.g. mean-field theory, quantum many-body theory, field-theoretical approaches. (b). Numerical many-body methods, such as exact diagonalization (ED), quantum Monte Carlo
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computational methods for HPC, edge computing, and memory management. We offer flexible working hours. We offer professional career development opportunities. The University of Utah offers a very competitive
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Pre-Breeding program in the Grape Genetics Research Unit (GGRU) aimed at the development of grape germplasm. Recent advances in our understanding of the genetics of important traits of grapevine, along
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theory and numerical methods, with experience in HPC programming (e.g., C++, Python, MPI, OpenMP, CUDA) and parallel computing environments. - Experience in performance analysis, debugging, and deployment
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for Nonlinear PDEs . The postdoc will focus on developing numerical methods and computational tools for nonlinear time-dependent systems of conservation and balance laws, multiscale hyperbolic and kinetic
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We seek a highly motivated and skilled
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these properties in collaboration with geodynamicists to create numerical models of planets. We are looking for a highly motivated individual who would want to be part of a five-year research program to quantify
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advanced statistical theory and methods. * Strong optimization and computational skills to process large-scale medical images and analyze multi-modal data effectively. * Excellent interpersonal skills
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— The score obtained in the curricular evaluation method is expressed in numeric scale of 0 to 20, considering the valuation up to two decimal places. 6.3 — The jury deliberates by vote justified according
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Position Details Position Information Internal Posting? Posting Number SP004690P Position Title Postdoctoral Research Associates, Statistical and Computational Modeling Division/College University