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the Information Science Division within the All-Domain Analytics and Signatures Office (A2SO) at the Applied Research Laboratory (ARL). This team serves as the foundation for effective machine learning—building, curating
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development and strategic initiatives. Job Requirements: Ph.D. in Artificial Intelligence, Computer Science, Machine Learning, Natural Language Processing, Information Retrieval, Data Science, or a closely
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Demonstrated ability to take initiative, excellent organizational and time management skills Strong computer skills with knowledge of Microsoft 365 applications; knowledge of Canvas learning management system
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, excellent organizational and time management skills Strong computer skills with knowledge of Microsoft 365 applications; knowledge of Canvas learning management system and Adobe Creative Cloud applications
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of Computer Science, you will: Lead research in your area of expertise, with a focus on machine learning and foundation models, and have the opportunity to establish and grow your own research group within a
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We are seeking a full-time Postdoctoral Research Assistant in Machine Learning to join Torr Vision Group at the Department of Engineering Science (central Oxford). The post is fixed-term for 1 year
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Trustworthy Graph Machine Learning for Population Scale Networks Job description We invite applications for a postdoctoral researcher to work on fundamental techniques for trustworthy graph machine
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Job Summary The Service-Learning Events & Promotions Coordinator supports and coordinates the planning, implementation, and evaluation of Service Learning & Civic Engagement (SLCE) programs, events
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 16 hours ago
image processing, disease detection, diagnosis, and therapeutic monitoring. The program addresses critical regulatory challenges posed by AI devices that can continuously learn and adapt, including
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Join University of the Arts London (UAL) and play a vital role in shaping, supporting and coordinating Digital Learning activities within the London College of Communication (LCC) and wider