30 computer-"https:"-"https:"-"https:"-"IDAEA-CSIC" Postdoctoral positions at Lawrence Livermore National Laboratory
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, and materials kinetic processes in materials. Design and perform systematic computer simulations on LLNL supercomputers to establish the foundational understanding of thermodynamic and kinetic
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, and materials kinetic processes in materials. Design and perform systematic computer simulations on LLNL supercomputers to establish the foundational understanding of thermodynamic and kinetic
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to the Laboratory. Perform other duties as assigned. Qualifications Recent Ph.D. in Computer Science, Machine Learning, Applied Mathematics, Statistics, Human-Computer Interaction, or a related field
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nature of the work. You will Conduct research and/or development outlined in your research proposal in one or more of the following areas: Atmospheric Science, Biology, Chemistry, Computer Science
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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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, and international conferences. Publish results in leading peer-reviewed journals. Collaborate with physicists, computer scientists, and applied mathematicians across LLNL and external institutions
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other duties as assigned. Qualifications PhD in computational science, applied mathematics, computational engineering, mechanical engineering, chemical engineering, computer science, or a related
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Center may be found at: https://heds-center.llnl.gov Applicants will need to submit their CV, research proposal, three references for letters of recommendation, application summary, and transcripts
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quantification To learn more, visit our website at: https://dp-fellowships.llnl.gov These positions may offer a hybrid schedule, which includes the flexibility to work from home one or more days per week