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commercial (e.g. Abaqus, ANSYS, etc.) and/or open-source finite element (FE) codes (e.g., MOOSE, DAMASK, etc.) is required. Experience with microstructural modeling (e.g. crystal plasticity) applied to fatigue
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platform. The successful candidate will (1) integrate heterogeneous sensors and onboard computing hardware; (2) develop methods for LiDAR-based simultaneous localization and mapping (SLAM), autonomous
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transformational improvement in extraction methods and gallium/graphite/rare earth element extraction. Major Duties/Responsibilities: Investigate critical material separation from brine and leachate solution
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(NSSD). In this role, you will conduct fundamental research into the integration of Bayesian methodologies with system dynamics modeling, advancing statistical methods and the open-source scientific
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data and develop data-driven methods for predicting land loss and ecosystem transitions in wetland-rich landscapes of the Gulf Coast with a focus on coastal Louisiana. This candidate will directly
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delivering programmatic milestones. Major Duties/Responsibilities: Design, analyze, fabricate and test Fabry-Perot cavity-based fiber-optic sensors to measure the deformation of metal diaphragms for various
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workflows; document methods, prepare peer-reviewed publications and project reports, and present research results. Conduct experiments in accordance with ORNL laboratory and laser-safety procedures. Deliver
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that have applications in multiple sectors of importance in the Department of Energy. The primary focus will be developing separation methods using mass spectrometry including microfluidics, MEMS, and mass
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quantum simulations of materials or chemical physics methods, in particular ab initio and AI-driven simulation methods Experience in statistical mechanical theory to analyze the simulation results Basic
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Engineer will conduct R&D in nuclear nonproliferation with expertise in computational nuclear reactor physics through modeling and simulation (M&S). The candidate will perform analysis and methods