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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
pipeline into production, working with a team of scientists to develop, implement, and deploy cutting edge algorithms and approaches to astronomical difference image analysis, image resampling and
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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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dynamic environments, including navigation in complex spaces. - Perception and Sensing: Leveraging diverse sensors and advanced perception techniques to interpret and interact with the physical world
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. Develop and implement control algorithms for distributed multi-agent system operations and spacecraft-based robotic manipulation. Perform research on spacecraft dynamics and control, including trajectory
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program integrates the study of wireless networking, protocols, sensor networks, security, software development, embedded systems, data analytics, and big data to provide students with the knowledge and
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water sensor at the molecular level. Our measurement techniques and numerical models based on constrained regularization algorithms allow us to link these measurements with other techniques including
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researcher to join our dynamic animal science and artificial intelligence team. The candidate will develop novel algorithms that advance the use of computer vision in precision livestock farming (PLF) and
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-acquisition circuitry, and signal-processing/pattern-recognition algorithms. The sensors must be tailored for the particular nature of a given chemical or biochemical measurement problem by optimizing and
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Sonmez Turan meltem.turan@nist.gov 301.975.4391 Description NIST standardized cryptographic algorithms are intended to be "bulletproof". That is, the computational complexity needed to break them is
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RAP opportunity at National Institute of Standards and Technology NIST Applications of Computational Optical Imaging Methods Location Physical Measurement Laboratory, Sensor Science Division