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development pertaining to chemical and biological detection. You will gain experience with algorithms, data analysis, Deep Learning, Python, pytorch and /or tensorflow, NLP, genetic algorithm, computer vision
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precise navigation sensors and systems. The mission of the NRDD is to conduct new navigation technology research and development, systems engineering, and provide expert knowledge for our Navy, Army, and
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support data analytical efforts using ML / AI algorithms for high frequency longitudinal sensor data, study data management, interaction with various UAHS stakeholders and incorporation of wearable sensors
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, sensor networks, robotics, and machine learning applied to the integration of computational algorithms and physical processes; Foundational aspects and methods in Machine Learning; Applications of machine
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submission to journals and conferences. Present research findings at seminars, conferences, and scientific venues. Develop innovative and robust machine learning algorithms to personalize interventions
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into detector systems. Evaluate optimal sensor placements and perform coupling measurements before and during each observation run of the LIGO Scientific Collaboration. Develop techniques and algorithms
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AI4Science topics. The Computational Sciences Department at PPPL was formed to provide a focus for computational physics and engineering. We specialize in algorithms and applied mathematics, data science and
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. You will: Design, implement, integrate, and test software for performing autonomous vehicle guidance and control. This software includes monitoring sensors, controlling actuators, controlling motors
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intracranial neurophysiology, wearable sensor data, medical imaging, behavioral task data, and clinical data. The scientist will assist with data collection, data analysis, help with study design, and contribute
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specially designed to test the most precise navigation sensors and systems. The mission of the NRDD is to conduct new navigation technology research and development, systems engineering, and provide expert