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fabricated using advanced manufacturing processes. Purpose: You will be working at the MDF to advance digital manufacturing technologies and to facilitate and accelerate their deployment to industry. The MDF
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computing AI on High-Performance Computing (HPC) cluster. Examples on areas of research interest include but are not limited to: Vision transformers. AI foundation models. Computing and energy-efficient
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Requisition Id 15180 Overview: We are seeking a Postdoctoral Research Associate with a strong background in spin-based quantum sensing phenomena. In this role, you will conduct research
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Group in the Manufacturing Sciences Division of the Energy Science and Technology Directorate at ORNL. In this position, you will be a part of teams working toward achieving both the overall mission
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of the field through the development and use of machine learning, deep learning, and high-performance computing (HPC). This position resides in the Chemical Separations Group in the Separations and Polymer
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and radiochemists to organic chemists and cell biologists, IARG pushes the boundaries of technology in the production, isolation, and characterization of radionuclides. Their work not only enhances our
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system. In this role, you will collaborate with leading scientists to design and implement distributed intelligence solutions tailored for large-scale scientific workflows in DOE environments. Your work
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). In this role, you will perform computational studies aimed at better understanding of photochemically driven processes to control ligand binding and release, and pH modulation using photoacids and
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described below. Research efforts will include application of density functional theory (e.g. QE, VASP, WIEN2K) and post-processing packages (e.g. ShengBTE, phono3py, Wannier90) packages to describe various
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Requisition Id 14934 Overview: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges