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Requisition Id 15757 Overview: We are seeking a Computational Scientist for the Multiscale Materials group in the Computational Science and Engineering Division (CSED). The candidate will be
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and
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, and quality program requirements. Maintains a strong commitment to the implementation and perpetuation of ORNL values and ethics. Produce written inspection reports. Build 3D CAD models from field data
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computed tomography (CT) reconstruction, including sparse-view and limited-angle algorithms, and the application of advanced machine learning (ML) and computational imaging methods to scientific and
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Sensing Group (RSG). RSG is part of the Oak Ridge National Laboratory (ORNL) and seeks to hire qualified candidates to support photogrammetry and 3D computer vision research initiatives with emphasis
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experience using 3D CAD software Experience with sensor instrumentation, particularly cameras and optics Experience with microcontrollers and/or robotics Experience with computer vision techniques Experience
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process engineering in a research and development atmosphere. Projects range from creating new 3D models based on conceptual (whiteboard) designs and cleaning up legacy prints, to participating in large
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enrichment technology related components using 3D Computer Aided Design (CAD) software (SolidWorks). Create 2D drawings to be used for fabrication and communicate with staff and suppliers through
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product definition data using computer-aided design (historically Creo). Identify and resolve model, design, and interface problems together with system lead engineers. Provide insights for designing
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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