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field completed in the last 5 years Experience in polymer or organic synthesis and characterization methods Preferred Qualifications: Knowledge and expertise in multi-step organic synthesis including
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-based modeling of hydrological and Earth system processes. The CHAS group conducts world-class research in hydrological and Earth system modeling, large-scale data analytics and machine learning (ML), and
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performance models. This position resides in the Materials Engineering Group in the Large-Scale Structures Section, Neutron Scattering Division, Neutron Sciences Directorate at Oak Ridge National Laboratory
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Postdoctoral Research Associate who will focus on creating innovative artificial intelligence algorithms for the trusted visualization of large-scale 3D scientific data. This position resides in the Data
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this role, you will have the opportunity to lead and contribute to cutting-edge research aimed at transforming scientific data management and workflows to enable AI-readiness at scale. You will work
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analysis of large-scale 2D/3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division, Computing and Computational
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National Laboratory (ORNL). This is an opportunity to develop novel tools and techniques across scales (river basin to national), publish in top-tier journals, collaborate with industry and academic partners
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the most challenging problems faced by the nation. You will perform groundbreaking research on a wide range of significant problems, and you will apply your work to exciting research in multi
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Section, Chemical Sciences Division, Physical Sciences Directorate, at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Conduct atomistic simulations to contribute to multi-disciplinary
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scientists for large-scale model training, testing, and deployment. Publish research findings in high-impact journals and present results at national and international conferences. Engage with collaborators