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computational efficiency. Work effectively individually and within a team to engineer software to meet the requirements of projects. Communicate effectively the work performed through journal articles
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, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and system science and engineering. Major Duties
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. Investigate radiation–matter interactions and the effects of chemically and radiologically challenging environments on nanomaterial performance, stability, and durability. Publish scientific papers and internal
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-intensive process because it is shown to be a leading driver of computational accuracy. As a result, for certain use cases of interest to ORNL, we are in need of an applications engineer capable of generating
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and ability to work effectively in a collaborative, multidisciplinary environment Special Requirements: Applicants cannot have received their Ph.D. more than five years prior to the date of application
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funded by the U.S. Department of Energy (DOE) Office of Basic Energy Sciences (BES) in the Materials Sciences and Technology Division (MSTD). The successful candidate will be expected to work effectively
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languages, such as Python and C++. Demonstrated experience in structural materials, such as research in phase transformations or mechanical behavior. Demonstrated effective written and oral
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to work effectively in a collaborative, multidisciplinary team environment. Preferred Qualifications: Experience with spatially explicit integrated surface/subsurface hydrologic models. Experience with
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post-doctoral research associate to simulate amorphous materials and crystallization reactions using atomic-scale simulations. As a post-doc, you will utilize high performance computing and rare event
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++. Evidence of scholarly productivity, including peer-reviewed publications and conference presentations. Excellent written and oral communication skills and the ability to work effectively in a collaborative