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, transportation, and more, with a special emphasis on grid resilience assessments and equity analysis. You will have the opportunity to creatively use interdisciplinary methods from computational data science
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methods towards improving our understanding of unique target materials. You will be working with scientists, engineers, technicians, and safety and quality assurance staff to support material testing and
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characterization techniques with mechanical behavior and finite element methods. The postdoctoral candidate will develop the processes needed to connect mechanical testing data with 3D microstructure of nuclear
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other characterization methods, as well as across multiple CNMS groups and divisions at ORNL. Major Duties/Responsibilities: Conduct materials research using combined photonics/scanning probe microscopy
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(CSD), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory (ORNL). This position is focused on the advancement of high-precision mass spectrometry and innovative chemical methods
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analytical methods to ensure and determine purity of samples being used for molten salt property measurements Leverage database of thermophysical properties and theoretical modeling frameworks to generate
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Requisition Id 14893 Overview: We are seeking a Postdoctoral Research Associate who will develop and apply computational methods based on electronic structure theory approaches, as
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aspects of distributed intelligence, driving advancements in resilient, adaptive AI systems on a global scale. Responsibilities include, but not limited to: Develop novel decentralized methods
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Qualifications: Experience in applying advanced controls methods to manufacturing processes and/or manufacturing-related automation Expertise in machine learning for both sensor processing and control, including
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property engineering on a large scale. Growth methods include traditional approaches such as CVD, PECVD, and MOCVD. Developing novel roll-to-roll (R2R) 2D synthesis methods, including innovative precursor