74 phd-position-data-mining Postdoctoral positions at Oak Ridge National Laboratory in postdoctoral
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Requisition Id 16491 PDAA Overview: We are seeking a Postdoctoral Research Associate who will focus on the LEGEND program’s search for neutrinoless double-beta decay of Ge-76. This position
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of funding. Letters of Recommendation: Please submit three letters of reference when applying to this position. You may upload these directly to your application or have them sent to [email protected]
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advanced manufacturing processes. This position resides in the Deposition Science and Technology Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD) at Oak
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qubit engineering to quantum algorithmic analysis to applications across the physical sciences (condensed-matter or high energy physics, data science). You will Interpret, report, and present research
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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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compilers and runtimes can unify classical, quantum, and analog execution models under a shared optimization framework. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, or a closely
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on emerging architectures and performance for advanced computing. This position resides in the Architectures and Performance Group (APG) in the Computer Science and Mathematics Division at Oak Ridge National
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Postdoctoral Research Associate - Multifunctional Equipment Integration Energy Conversion Technology
system technologies. This position resides in the Multifunctional Equipment Integration Group in the Thermal System Science Research Section, Buildings and Transportation Science Division, Energy Science
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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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their area, interact with ORNL staff, industry, and academic partners. This position resides in the Sustainable Manufacturing Technologies Group in the Manufacturing Science Division (MSD) of the Energy