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Requisition Id 12953 Purpose: The Sensors and Embedded Systems Group at the Oak Ridge National Laboratory (ORNL) is seeking applications for a postdoctoral research associate with expertise in
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integration and utilization. Group initiatives encompass innovative sensor technologies, advanced modeling techniques, and precise control mechanisms specifically designed for the grid edge. Research promotes
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Postdoctoral Research Associate - Manufacturing Optimization Through FEA/CFD Simulations for Polymer
optimization framework for polymer composites through computational fluid dynamics (CFD) and finite element analysis (FEA). The work will also involve sensor data analysis from composite manufacturing equipment
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Postdoctoral Research Associate - Structural Simulation and Machine Learning (ML) for Polymer Compos
process optimization framework for polymer composites through physics-based simulations, sensors from machines, and artificial intelligence. Our research division carries out high quality R&D focused
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environmental samples, conduct controlled mesocosm experiments, develop and maintain environmental sensors in field and mesocosm settings, and analyze geochemical properties of environmental samples in
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spin-based quantum sensors. Maintain and perform research with cryogenic optical microscopes. Present and report research results and publish scientific results in peer-reviewed journals in a timely
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, implement, and apply novel machine-learning (ML) and statistical methods to sensor and component health monitoring with reporting, anomaly detection, and fault isolation of complex dynamic systems. Develop
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science, material science, automation, and sensors and controls). Interact and collaborate with researchers from universities, national laboratories, and private industry. Present research results to ORNL