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Requisition Id 16160 Overview: The Advanced Computing in Health Sciences (ACH) section at the Oak Ridge National Laboratory is seeking qualified applicants for a Research Scientist position for
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. The division leads and supports a vibrant world-class user program while continuing to develop new neutron scattering methods, approaches, and instrumentation, and performing cutting-edge scientific research
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offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content/Benefits/?locale=en_US Overview: The Information Technology Services Directorate at the Oak
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science, and materials engineering, with emphasis on understanding material behavior in complex chemical and radiological environments. Research activities may include the design of functional nanomaterials
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on scientific computing with a strong emphasis on scientific machine learning and data analysis. We are specifically interested in applicants with expertise in one or more of the following research areas
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management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in making AI-ready scientific data. As a postdoctoral fellow at ORNL
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attracting scientists from all over the world conducting world-class research in physical, chemical, and materials sciences. More details about the instruments and their scientific impact can be found at https
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record with publications in journals/conferences related to scientific visualization, scientific computing, and/or artificial intelligence. Strong experience in using techniques or tools relevant
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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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: Participation in the development and analysis of new computational methodologies for scientific problems, often customized to complex and large-scale scientific applications Delivery and support of mathematical