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characterization of germanium detectors, develop advanced Monte Carlo models and AI-driven analysis tools to optimize detector response, and to promote precision medical imaging and low energy dark matter searches
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. Demonstrated expertise in using machine learning and optimization frameworks in conjunction with FE simulations to assist with component and/or process design is preferred. Excellent written and oral
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 6 hours ago
underground natural gas storage operations in the U.S., and (3) optimize produced water disposal operations to maximize stored volumes. The faculty research fellow selected for this project will conduct
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systems. The successful candidate will contribute to nanoparticle synthesis and optimization, physicochemical characterization, in vitro and in vivo evaluation, and mechanistic studies of nano-bio
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responsibilities The postdoctoral researcher will lead the technical and quantitative core of the project. Responsibilities will include: Developing, implementing, optimizing and troubleshooting immersive behavioral
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waste management pathways. The research will support process optimization and scale-up by assessing different feedstocks, operating conditions, and valorization routes for syngas and recovered materials
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of the hamstrings during push-off can enhance gait after stroke. This position builds on those findings: you will adapt an existing FES shorts system for stroke rehabilitation, test and optimize it with patients
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system for stroke rehabilitation, test and optimize it with patients, retrain the stimulation-control algorithm for stroke-specific gait, and evaluate usability, comfort, and fit during prolonged use. You
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decision is made. Demonstrated scientific excellence and outstanding academic track record. Strong background in wireless communications, signal processing and optimization techniques. Demonstrated
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-specific reasoning behavior Comparison and development of RL training approaches Calibration, abstention, and safety-aware optimization Clinical Evaluation and Safety Evaluation of oncology reasoning models