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Field
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unravel the complex relationships between land use changes and fire regimes over the past 60 years. The successful candidate will lead efforts to: Develop advanced deep learning algorithms for classifying
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together experts in systems neuroscience, AI, and engineering. This ambitious initiative promises to offer unprecedented insights into the brain's algorithms of perception and cognition while serving as a
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to enable future advanced applications of diamond electronic and quantum devices and sensors. Fundamental studies using highly controlled exposures of selected (e.g., Cl and O) neutrals and/or ions in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
looking for a postdoctoral fellow interested in developing either machine learning algorithms for high-resolution histopathology imaging/spatial-profiling data in combination with other modalities (e.g
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Description The Jones Lab at Georgetown University uses innovative techniques to map greenhouse gas emissions both locally and around the world. The lab is actively engaged in sensor development, field work
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a 3-year DOE-sponsored project that started in September 2024. The Postdoctoral Research Associate working on P1 will develop and test deep learning algorithms for model emulation and model parameter
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quality algorithms and products (e.g., temperature, turbidity, chlorophyll-a) while developing novel methodologies to advance research on short- and long-term water quality conditions. Approaches may
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seeking to harness the power of nuclear medicine for therapy and track its therapeutic responses using optoacoustics. The lab focuses on novel imaging techniques and new sensor technologies. More
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imbalanced cross-sectional imaging data are especially well-suited for the position . The postdoctoral researchers will develop algorithms for deployment at our prestigious R Adams Cowley Shock Trauma Center
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group aims to bring fundamental changes in the way the sensors and electronic devices are developed using materials designed for sustainability, and resource efficient printed electronics on flexible