80 phd-position-wireless-sensor-networks Postdoctoral positions at Oak Ridge National Laboratory
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, high temperature, nuclear environments. This position resides in the Nuclear and Extreme Environment Measurement (NEEM) Group in the Nuclear Energy and Fuel Cycle Division, Fusion and Fission Energy and Science
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or integrating control algorithms into physical testbeds Knowledge of predictive maintenance methods and anomaly detection techniques for complex systems Experience with sensor networks, IoT platforms, or real
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interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Basic Qualifications: A PhD in Earth and Environmental Sciences, Ecology, Biosciences, Botany, Geosciences, or a related
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communication and program management skills are required. This position resides in the Carbon Fiber Technology Facility (CFTF) and the work is performed at the Manufacturing Demonstration Facility (MDF) in
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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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Requisition Id 16779 Overview: We are accepting applications for Postdoctoral Research Associate positions in Data Science for Advanced Manufacturing that will focus on the development of next
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manufacturing workflows. This position resides in the Advanced Machining and Machine Tool Research Group in the Manufacturing Science Division, Energy Science and Technology Directorate, at Oak Ridge National
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. This position is in the Technology Integration group within NCCS. Specific areas of research interest include: Integration of memory encryption, confidential computing, and trusted execution environments on both
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phenomena of nuclear reactor fuel cladding and core internal materials. Strong materials characterization skills are required. This position resides in the Fuel Cladding and Core Internals (FCCI) Group in
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to additive manufacturing (AM), virtual manufacturing, material characterization, topology optimization, and real-time sensing. This position resides in the Computational Sciences and Engineering Division (CSED