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for several key U.S. industries. As part of this role, the ideal candidate will be passionate about manifesting higher-level project deliverables into a timely, high-quality product. The immediate project needs
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Requisition Id 17043 Overview: The Materials & Chemistry Group (MCG) within the Nuclear Nonproliferation Division (NND), a part of the National Security Sciences Directorate (NSSD), is seeking a
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Laboratory (ORNL). As part of our team, you will study complex materials, form engineering solutions, and develop new techniques to study engineered systems and develop techniques to address physical
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. Excellent oral and written communication skills. Strong interpersonal skills to support team building. Ability to work and demonstrate critical thinking individually and as part of a diverse team. Ability to
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, digital twin, surrogate and reduced-order models and machine learning tools for part qualification and quantification of distortion, residual stress, microstructure and fatigue. Effective interpersonal
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the Manufacturing Sciences Division (MSD), Energy Sciences and Technology Directorate (ESTD) at Oak Ridge National Laboratory (ORNL). As part of our research team, you will engage with researchers with various
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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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Laboratory (ORNL) and you will join our team as part of the Department of Energy’s Nanoscale Science Research Center MEERCAT project. As part of our research team, you will investigate excitonic and electronic
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part of this role, the ideal candidate will be passionate about manifesting higher-level project deliverables into a timely, high-quality product. The immediate project needs for this candidate are in
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the Nanomaterials Chemistry Group in the Separations and Polymer Chemistry Section, Chemical Sciences Division, Physical Sciences Directorate, at Oak Ridge National Laboratory (ORNL). As part of our research team