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solutions to compelling problems in energy and security. We are seeking a Postdoctoral Research Associate who will support the Computational and Predictive Biology Group in the Biosciences Division (BSD
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solutions to compelling problems in energy and security. We are seeking a Postdoctoral Research Associate who will support the Advanced Computing for Chemistry and Materials Group in the National Center
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computing (HPC) system for open science in the world, Frontier. The candidate will join a team of computer vision, machine learning, and data science experts to accomplish project goals. The candidate will
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Polymer Chemistry section, Chemical Sciences Division, Physical Sciences Directorate, at Oak Ridge National Laboratory (ORNL). As part of our team, the postdoc will synthesize novel dynamic polymers and
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of modeling framework and support process development for metal additive manufacturing (AM) processes. This position resides in the Computational Sciences and Engineering Division (CSED) at Oak Ridge National
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Communications and Networking Group with the Computational Science and Engineering Division (CSED), Computing and Computational Sciences Directorate (CCSD) at Oak Ridge National Laboratory (ORNL). Major Duties
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experience and knowledge in neutron imaging instrumentation and apply these in advancing nGI for material science research through novel instrumentation and computational methods. Then you will be applying nGI
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the industrial sector. Informing strategic planning, devising protocols and tools for onsite energy technology assessments, creating, and upkeeping tools and resources for the onsite energy program, and providing
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Requisition Id 13222 Overview: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an extraordinary 80-year history of solving the nation’s biggest problems. We have
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the Geospatial Science and Human Security Division (GSHSD) at ORNL. The group performs artificial intelligence, computer vision, and federated learning research initiatives, with emphasis on large scale geospatial