41 parallel-computing-numerical-methods research jobs at Oak Ridge National Laboratory
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operational excellence and engagement with the communities where we live and work. ORNL invites you to apply to its Distinguished Staff Fellowship (DSF) Program. This program recognizes outstanding early-career
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Requisition Id 15337 Overview: We are seeking a Postdoctoral Research Associate who will focus on applying computational methods in the areas of interfacial chemistry of rare-earth elements
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experience in hydrological or Earth system modeling, with emphasis on process understanding and prediction. Strong background in computational sciences, including numerical methods, high-performance computing
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visual representation and 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
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computed tomography (XCT) imaging of a variety of specimen types including irradiated fuel samples, analyzing the generated 3D XCT datasets to identify and quantify features of interest, and interacting with
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environmental conditions, and predicting photosynthesis at multiple scales. The selected postdoctoral scientist will work with a team of mathematicians, computational scientists, plant geneticists and
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of formulation, coating methods, and carbonization/sintering process, as well as the design of novel vitrimers for adhesives and fiber reinforced composites. This position resides in the Soft Materials and
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grid analytics, and scientific imaging. The successful candidate will design and implement sparse algorithms for large-scale scientific and numerical computations. This role offers an exceptional
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breeding blankets, including computational fluid dynamic (CFD), thermal hydraulic, and magnetohydrodynamic (MHD) analyses. We seek individuals with advanced analytical and computational skills who can use
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including code design, documentation and testing. Familiarity with optimization methods including Machine Learning (ML) techniques. Any experience with computations on GPUs. Working knowledge of Linux command