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Associate who will focus on creating innovative uncertainty quantification and visualization algorithms that enable trusted visual representation and analysis of large-scale 2D/3D scientific data
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capabilities in a wide range of areas, including applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data
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Group in support of the Nuclear Structure and Nuclear Astrophysics research program and the Nuclear Data effort. Major Duties and Responsibilities: Design, propose, perform and analyze experiments in
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and understand the variation in plant phenotypic traits and response to stresses and link these to genetic information under the Center for Bioenergy Innovation project (https://cbi.ornl.gov/ ). Major
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physiologists, and data scientists to tackle fundamental issues in AI/ML-based photosynthesis research and applications. The selected scientist will have access to the world’s most advanced resources in computing
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systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and
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Requisition Id 15813 Overview: We are seeking a highly motivated postdoctoral researcher with a strong background in sensor integration, data acquisition, and in situ process monitoring
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research, each year carrying out more than 1,000 experiments in the physical, chemical, materials, biological and medical sciences. To learn more about Neutron Sciences at ORNL, please go to this link: http
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will involve designing beam dynamics experiments, measurement, simulation, and data analysis. This position resides in the Accelerator Physics Group in the Accelerator Science and Technology Section
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a stimulating multidisciplinary environment. Major Duties/Responsibilities: Perform neutron scattering experiments and analysis of resulting data to understand the static and dynamic properties