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bed metal additive manufacturing and directed energy deposition. The candidate will support senior technical staff in conducting high quality research on materials processed through AM with respect
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for advanced manufacturing systems. They will maintain sensor calibration and quality across a variety of machines and support the development of state-of-the-art sensor technologies and their usage in advanced
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research concepts from exploratory prototype to delivered system. Create, test, and maintain software elements of these systems. Support modelling and simulation activities to exercise software elements
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Requisition Id 16802 Overview: We are seeking a Postdoctoral Research Associate for the development and application of advanced multiphysics simulations, and machine learning (ML) methods relevant
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, etc.) composites. Hands-on experience with lab scale polymer synthesis and analysis. Preferred Qualifications: Experience with computer modelling systems such as finite element analysis (FEA
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knowledge of different trades such as welding, sheet metal, machining, millwrights/boilermakers, and pipefitting. This position resides in the Fabrication Services Group in the Fabrication, Instrumentation
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for advanced manufacturing systems. They will maintain sensor calibration and quality across a variety of machines and support the development of state-of-the-art sensor technologies and their usage in advanced
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experience of metal additive manufacturing processes Preferred Qualifications: Working knowledge of machine learning and deep learning models, including their application within manufacturing environments
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. Demonstrated expertise in using machine learning and optimization frameworks in conjunction with FE simulations to assist with component and/or process design is preferred. Excellent written and oral
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has an outstanding 80-year history of solving the nation’s biggest problems. These elements are essential for enabling the execution of ORNL’s broader mission to accelerate scientific discoveries and