59 computer-algorithm-"https:"-"Simons-Foundation" Postdoctoral positions at Oak Ridge National Laboratory in United States
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, water, carbon, and materials productivity throughout the U.S. economy and to identify opportunities for improvement. Through the Industrial Energy Efficiency Program, the MEERA Group develops a diverse
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. Eventually, we aim to map these algorithms on to energy-efficient emerging devices. In addition, you may also explore applying LLMs to drive multimodal models in scientific domains towards deep reasoning. As a
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uniting national laboratories, academic institutions and industry partners, the QSC is endeavoring to advance American innovation and global leadership by enhancing the computational robustness, algorithmic
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Requisition Id 15769 Overview: The Computational Hydrology and Atmospheric Science (CHAS) Group at Oak Ridge National Laboratory (ORNL) is seeking a highly motivated Postdoctoral Research Associate
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Requisition Id 15448 Overview: We are seeking a Postdoctoral Research Associate who will focus on creating innovative artificial intelligence algorithms for the trusted visualization of large-scale
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. Basic Qualifications: A PhD degree in civil, chemical, or environmental engineering. A minimum of 2 years of experience in the use of Python for programming of data analytical models and algorithms
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Requisition Id 15434 Overview: The Advanced Computing in Health Sciences (ACH) section at the Oak Ridge National Laboratory (ORNL) is seeking qualified applicants for a Postdoctoral Research
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Requisition Id 15253 Overview: We are seeking a Postdoctoral Research Associate who will focus on creating innovative uncertainty quantification and visualization algorithms that enable trusted
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Requisition Id 15435 Overview: We are seeking a Postdoctoral Research Associate, in computational nuclear physics. This position focuses on nuclear theory with an emphasis on fundamental symmetries
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, transportation, and more, with a special emphasis on grid resilience assessments and equity analysis. You will have the opportunity to creatively use interdisciplinary methods from computational data science