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scale with a particular focus on AI for Science, Natural Language Processing (NLP), and AI for Operations. Our aim is to push the boundaries of computational science by integrating advanced AI methods
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complex challenges in science, energy, national security, and health. Our researchers develop scalable machine-learning models, deep-learning architectures, and data-driven methods for platforms ranging
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. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Basic Qualifications: A PhD in Earth and
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, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD
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opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, computer science, or a related
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; (2) advanced cooling solutions for energy systems; (3) thermal management for electronics and data centers; and (4) separation processes for building environments. Develop experimental setup, problem
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ligands and functionalized sorbents for the selective extraction and recovery of gallium (Ga), germanium (Ge), and other critical minerals from complex zinc-processing feedstocks. The successful candidate
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adapting them to integrate with novel data-driven approaches in chemical dynamics and work with experimentalists to help interpret spectroscopic results and help design new experiments. Participate in
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, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: PhD in chemical
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applications, data assets, and technologies and provides assurance to build knowledge and impact in novel, crosscut-science outcomes. The candidate will be a postdoctoral researcher within the Multiscale