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students. Assist with hosting Institute visitors and supporting IQSE-sponsored activities. Qualifications PhD in Physics, optics, or photonics. Applicants should have a proven record of research in
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: Artificial Intelligence / Machine Learning Knowledge Representation and NLP methods Clinical Informatics Bioinformatics Biomedical Ontology Public Health Informatics Nursing Informatics Imaging Informatics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
professionalism, enhance learning, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our
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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and scientific
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Advantage . Qualifications: Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. A minimum of a PhD in relevant scientific area such as Physiology, Molecular Biology and
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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
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About the Opportunity SUMMARY The lab of Professor Albert-László Barabási is looking for Postdoctoral Research Associates in the area of network science, nutrition, biological networks, machine
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
Experience Requirements Applicants should have (or expect to receive before the start of the position) a PhD in Computer Science or EE/ECE on a topic in machine learning, artificial intelligence, natural
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Institutes of Health. The focus is on using concepts and techniques from statistical learning techniques, signal processing, machine learning, information theory and nonlinear dynamics. Villanova is a Catholic
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applications from candidates in Computer Science and Engineering, with a focus on a broad range of research specializations, including: Trustworthy AI and machine learning and its societal impacts Cybersecurity