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optimizing the squeezing of the vacuum to minimize quantum noise, a prototype cryogenic interferometer, using machine learning for nonlinear feedback control, devising techniques to quell opto-mechanical
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Job Description The laboratory of Dr. Ryunosuke Amo at the Fralin Biomedical Research Institute at VTC is seeking a Postdoctoral Associate to investigate neurocircuit mechanisms of learning and
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record (EHR) as well as MyChart data, with the opportunity to work on applications of machine learning/deep learning/ Natural Language Processing in novel areas of healthcare. The position is open for a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim
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• Effective communication skills Preferred Qualifications • Expertise in one of the following areas: Environmental or Performance Physiology, Machine Learning, Motion Analysis, Multiscale Modeling
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circuits that regulate motivational and emotional states. The lab uses many state-of-the-art techniques, including deep-brain calcium imaging (2-photon in vivo microscopy) with single-cell resolution and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
language processing, computer vision, medical image analysis, or a related area. Required Qualifications, Competencies, and Experience Demonstrated strong communication, teamwork, and leadership skills. Strong
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days 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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motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI