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Field
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validate artificial intelligence (AI) algorithms for analyzing OCT imaging in diabetic macular edema (DME). Data processing and image annotation to support development of AI models trained on OCT scans from
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California State University San Marcos | San Marcos, California | United States | about 16 hours ago
data types such as dictionary, priority queues, matrices, and relations, foundation of recursive algorithms, complexity analysis, complexity classes, sorting and searching, computability and
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experiments are appropriately conducted following the policies and procedures of Stony Brook University. The successful candidates will work on the parity- violating electron scattering (PVES ) program at
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Postdoctoral Associate - Global Labor and Work, ILR Future of Work Program The Industrial and Labor Relations (ILR) School at Cornell University is seeking a Postdoctoral Associate to join the ILR Future of Work
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: 273298500 DePaul University Post Doctoral Researcher NSF SCHOLAR Loop Campus (On-site) Job Description The Highlights: The Medical Informatics Lab at DePaul University's School of Computing is seeking a
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Director - National Tutoring Observatory, Information Science Cutting-edge research is an integral part of the NTO's mission. As such, the successful candidate will work closely with Cornell faculty members
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Research Director – National Tutoring Observatory, Information Science Cutting-edge research is an integral part of the NTO’s mission. As such, the successful candidate will work closely with
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of Mathematics at Cornell. Members of the lab engage in interdisciplinary research, drawing on approaches from geometry, topology, graphs and networks, probability/statistics, and algorithm design, in conversation
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Postdoctoral Associate – Global Labor and Work, ILR Future of Work Program The Industrial and Labor Relations (ILR) School at Cornell University is seeking a Postdoctoral Associate to join the ILR
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program in AI, Deep Learning, and machine learning applications for climate science. This research position will advance cutting-edge approaches to climate prediction, extreme event detection, and seasonal