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conduct organic synthesis, materials characterization, solvent extraction, and solid-phase separation studies to advance sustainable critical mineral recovery technologies. This position resides in
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computing, with a particular emphasis on methods tailored to study nonequilibrium quantum many-body systems. The position offers an exciting opportunity to contribute to cutting-edge research
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the project from idea stage to eventually generating quantifiable outcomes such as publications and invention disclosures. Major Duties/Responsibilities: Collaborate with a multidisciplinary team to advance
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technologies and provides assurance to build knowledge and impact in novel, crosscut-science outcomes. The candidate will be a postdoctoral researcher within the Multiscale Materials (MsM) group of the Advanced
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monitoring, or manufacturing decision-making. Collaborate with ORNL researchers, technical staff, students, industry partners, and external collaborators to execute project tasks and deliver research outcomes
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will develop materials and processing technologies that will result in a transformational improvement in gallium and Germanium and rare earth magnetic material extraction methods from naturally occurring
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implementation of the LEGEND-1000 experiment, and pursue R&D that extends the physics potential of low-background, rare-event searches. The successful candidate will work closely with a range of students, other
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, devices, and networked systems. It develops community applications, data assets, and technologies and provides assurance to build knowledge and impact in novel, crosscut-science outcomes. The selected
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) with a particular focus on event forecasting, predictive maintenance, and corrective actions. The role would encompass working on forecasting, predictive, and text generation algorithms with Large