76 computer-science-image-processing-"https:" Postdoctoral positions at Oak Ridge National Laboratory
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, engineering, computing, and environmental sciences to address complex scientific challenges and accelerate the translation of discoveries into real‑world solutions. As a Postdoctoral Research Associate, you
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responses to environmental change. This position resides in the Ecosystem Processes Group in the Environmental Sciences Division at Oak Ridge National Laboratory (ORNL). The selected candidate will work with
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, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A Ph.D. in Materials Science
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separation science and technologies for energy applications. Support research and program-development activities in advanced separation and purification, including the recovery of critical materials used in
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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
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chemistry, radiochemistry, theory, spectroscopy, and materials characterization. This project will develop materials and processing technologies that will result in a transformational improvement in
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to accelerate multiscale materials and flow sciences. Major Duties/Responsibilities: Collaborate within a multi-disciplinary research environment consisting of computational scientists, computer scientists
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strong background in polymer synthesis for advanced fibers, characterization, and processing. Expertise in polymer chemistry or processing for developing advanced fiber precursors. Experience in advanced
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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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, standards, and procedures. Ability to engage in domestic and international travel as required. Basic Qualifications: Ph.D. in statistics, applied mathematics, computer science, physics, engineering