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Requisition Id 16485 Overview: The Data and AI Systems Research Section within the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral
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alongside data scientists, software engineers, statisticians, and domain experts, publish and release your work openly, and apply these methods to nuclear nonproliferation and nuclear fuel cycle problems
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for collaborative use within the EGRET project. Work closely with remote-sensing scientists, hydrologists, environmental scientists, process-based modelers, and computational scientists across DOE laboratories and
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team of ecologists, biogeochemists, modelers and data scientists across ORNL and the broader DOE E3SM and Environmental System Science communities. Present research findings at scientific conferences and
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(ORNL) but will involve close (daily) collaborations with scientists/team members across the laboratory, specifically the Energy Storage and Conversion Group. Potential candidates are expected
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of computational scientists, applied mathematicians, and computer scientists to link models and algorithms with high-performance computing. Author peer reviewed papers for internal and external release as
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for geothermal casing related harsh environments applications. A background in polymer chemistry research or related fields, composite material development, material science, and data analysis is preferred. Strong
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models of gas transport and process behavior in industrial systems Collaborate with a team of scientists from across the national laboratory complex on modeling efforts Extend process flow modeling across
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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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AI-ready scientific data. As a postdoctoral fellow at ORNL, you will collaborate with a dynamic team of scientists and engineers, leveraging cutting-edge resources; most notably the Frontier