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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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reasoning using cutting-edge AI agents and toolkits. Your contributions will accelerate cross-disciplinary scientific progress across climate modeling, computational chemistry, additive manufacturing, and
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in ORNL’s Center for Radiation Protection Knowledge (CRPK). The candidate will work with experts in computational radiation dosimetry and risk assessment. The candidate should be an independent thinker
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. The goal of this work is to investigate the dynamics of beams with intense space charge and benchmark simulation models against experimental results. As a U.S. Department of Energy (DOE) Office of Science
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Requisition Id 15815 Overview: The Workflows and Ecosystem Services (WES) group under the Advanced Technology Section (ATS) of the National Center for Computational Sciences (NCCS) is seeking a
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a particular emphasis on error-corrected methods for future fault-tolerant quantum computing. The algorithms will be designed to address key models of quantum materials, such as the Hubbard model
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Group in support of the Nuclear Structure and Nuclear Astrophysics research program and the Nuclear Data effort. Major Duties and Responsibilities: Design, propose, perform and analyze experiments in
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for computing properties of nuclei. Prepare nuclear data for consumption by machine learning models. Investigate the use of machine learning models to compute properties of nuclei using high-performance computing
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Requisition Id 15663 Overview: We are seeking a Post Doctoral Research Associate who will focus on high fidelity building energy modeling and advanced control. This position resides in
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for state-of-the-art high performance computing architectures. Study the dynamics and properties of lattice models of nonequilibrium quantum materials using innovative computational techniques. Collaborate