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vehicle (AV), allowing for automated detection, prediction, mapping, and planning. During the vehicle’s operation, data is obtained through a myriad of sensors in an AV—including RADAR, LIDAR, cameras, and
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research team. Key research areas include: Development of low-carbon materials and tunable thermal energy storage materials integrated with smart sensors and advanced algorithms Creation of Digital Twins
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Applications are invited for a one-year Postdoctoral Research Fellow position with Professor Avi Loeb at Harvard University, leading the scientific commissioning and operation of a multi-sensor observatory
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naturally occurring 15 N15 N to quantify in-situ microbial N2 production in oceanic waters University of California, Santa Barbara, laboratory of David Valentine Jacob Robertson, Ph.D. Genetics and
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considerations and algorithms for protocol documents according to study design and appropriate statistical methods, manage and maintain documentation of files and analyses. This person will summarize and present
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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include manage various datasets, estimate statistical models, report formats and other analysis considerations, determine and write statistical considerations and algorithms for protocol documents according
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design and reinforcement learning algorithms. We combine statistical methods with online reinforcement learning algorithms to provide inferential tools. The successful applicant will be expected to develop
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neural circuitry. The Staff Scientist will use a combination of techniques including in-vivo high-speed imaging with voltage-sensors, confocal imaging, and correlative light and electron microscopy
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clinical pulmonologists and immunologists to study the molecular mechanisms that underly airway tissue homeostasis and asthma pathogenesis. In addition, our group aims to develop new computational algorithms