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systems through data-driven modeling and optimization. The successful candidate will work at the intersection of thermal-fluid sciences, control theory, and artificial intelligence/machine learning to
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operations. A central emphasis will be developing, testing, and deploying connected-vehicle technologies and smart-infrastructure control in real-world settings to improve the energy efficiency of mobility
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deformation of metal diaphragms for various harsh environment applications. Develop data acquisition and control systems that include hydraulic or pneumatic actuation and pressure monitoring combined with
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modeling, and process optimization. In this role, you will leverage large-scale, heterogeneous datasets to develop and deploy AI-driven methods for: Real-time quality monitoring and control of
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deadlines, and adapt to ever changing needs Special Requirements: Export control, no clearance : This position requires access to technology that is subject to export control requirements. Successful
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control, no clearance : This position requires access to technology that is subject to export control requirements. Successful candidates must be qualified for such access without an export control
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for creating integrated autonomous experimental synthesis and characterization cross-facility agentic-AI platforms that allow real-time guidance and control of these multi-modal experiments for targeted
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appointments and extensions are subject to performance and availability of funding. This position requires access to technology that is subject to export control requirements. Successful candidates must be
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, optomechanics, optical cavities, and/or photonic quantum sensing and computing. Experience with control electronics, data acquisition systems, machine learning and AI for control and optimization of
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access to technology that is subject to export control requirements. Successful candidates must be qualified for such access without an export control license. This position requires the ability to