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AgriLife Texas A&M AgriLife is comprised of the following Texas A&M University System members: As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together a college and
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diverse and global society. Through a variety of educational pathways that provide access and range from certificates and associate degrees to a professional doctoral program, UNG is responsive to regional
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the racial justice implications of technology, algorithmic decision-making, and surveillance tools in the criminal legal system and other systems that govern people?s lives; challenging the forces that drive
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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
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topics related to development and macroeconomic behavior. Many of these studies involve the collection of data using computational algorithms and analysis of large-scale survey data, which are combined
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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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Bioinformatics, Computational Biology, Computer Science, Biomedical Engineering, Computer Engineering, Genetics/Genomics or related field experience with ‘omics platform output experience with biological datasets
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a PhD/DPhil or equivalent in a quantitative discipline such as computer science, statistics, machine learning, statistical or population genetics, or a related field. They should have experience in
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others (but not limited to): Computer Organization and Architecture, Data Structures and Algorithms, Computer Programming for Engineers, Object Oriented Programming, Digital Logic and Advanced Digital
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Stack Software Developer. The group aims to identify, understand, and develop therapies for rare genetic disorders. The group is primarily computational but partners with multiple international labs