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to evaluate energy, environmental, and cost impacts of conventional/new transportation fuels and chemicals, as well as advanced vehicle technologies. The SAC continues to assess conventional and advanced fuels
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AI hardware to help solve significant real-world problems using machine learning and deep learning. ALCF researchers work in a highly collaborative environment involving science application teams
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ability to scale models using distributed computing environments. Excellent oral and written communication skills for effective collaboration across multiple teams. Commitment to embodying the core values
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reduction approaches and systems will be developed and implemented that operate close to instruments at the edge, and that leverage high-performance computing environments when needed. This position will be
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between models and experiments), Developing empirical force fields Developing scientific software and workflows Experience in programming for HPC environments, including MPI, OpenMP, or CUDA
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teamwork. Ability to make our laboratory a safe, welcoming, inclusive, and accessible environment where all can thrive. Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed