11 parallel-programming "Inserm" Postdoctoral positions at Lawrence Livermore National Laboratory
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with high-performance computing, GPU programming, parallel programming, cloud computing, and/or related methods including running numerical simulations of complex workflows. Demonstrated technical
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mechanics, friction laws, and nonlinear material behavior. Proficiency in C/C++ programming language. Experience working in Linux-based high-performance computing environments. Record of publishing peer
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diffraction in plastically deformed alloys. Implement the framework in parallel simulation codes intended to run on LLNL supercomputers. Design and conduct complex molecular and dislocation dynamic
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design new experiments to further our scientific understanding. Conduct research using massively parallel computer platforms to solve scientific challenges. Publish research results in peer-reviewed
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independent researcher with a high level of attention to details. Proficient with Python and the use of high-performance computer platforms for large parallel simulation and processing tasks. Contribute to
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Experience with FORTRAN, C/C++, and parallel computing. Experience in theoretical/computational studies of material microstructure evolution involving microelasticity and/or plasticity effects. Experience with
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Experience with FORTRAN, C/C++, and parallel computing. Experience in theoretical/computational studies of material microstructure evolution involving microelasticity and/or plasticity effects. Experience with
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spectroscopy and/or ion traps. Programming experience in C++, Python, and/or other programming languages. Experience performing complex analyses using ROOT and GEANT4, or similar programs. Experience carrying
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modern programming practices. Experience with statistical analysis and uncertainty quantification. Excellent written and verbal communication skills, including publications and scientific
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through peer-reviewed publications. Programming experience in Python or similar environments for data analysis, visualization and/or automation. Innovative experimental skills with experience in