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Field
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data to design robust, efficient deep learning algorithms that maximize the information extracted from images and delivered to the robot. To be successful in this role, we are looking for candidates
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devices, mutating enzymes for targeted functions, improving extracellular electron transfer efficiency, and testing of deployable bioelectrochemical sensors. The candidate will also be responsible
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are typically acquired through the completion of a Ph.D. or equivalent. Expertise in robotics, in at least one of robot control, motion planning, integrated sensor-based control, dealing with uncertainty in
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machine learning. Essential Duties and Responsibilities: Develop and implement advanced reconstruction algorithms for correlated and low-dose imaging modalities. Maintain and extend Python-based software
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, Quantum Information , Quantum Optics , Quantum Optics and Quantum Science , Quantum Science , Quantum Sensors Appl Deadline: none (posted 2024/10/25) Position Description: Apply Position Description What
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, the next step in this project is to address sparse optimization for tensors. We propose the integration of randomized algorithms into sparse optimization frameworks for the purpose of completing
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service quality. To address these challenges, advanced methodologies and algorithms are needed to design effective revenue and inventory management strategies for complex stochastic systems. The growing
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Stanford University / SLAC National Accelerator Laboratory | Menlo Park, California | United States | about 13 hours ago
decays using ultra-low-threshold superconducting sensors. For 1), we are members of the nEXO and XLZD experimental collaborations and are pursuing a next-generation experiment capable of measuring 0𝜈ββ
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set of sensors (LiDAR, RGB, IR, and Spectrometer) that enable advanced plant measurements, that allow us to assess plant’s water budget in response to abiotic stress and nutrients’ application
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
workloads with dedicated GPU and large-memory partitions. The Research Triangle area is a dynamic collaborative environment with UNC-Chapel Hill, Duke University, and North Carolina State University all