193 phd-studenship-in-computer-vision-and-machine-learning PhD positions in United States
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research training program, unless research training under the supervision of a senior mentor is a primary purpose of the appointment. · The appointee works under the supervision of a scholar or a department
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Assistant (one month) will ensure participant compliance with study procedures. Under the direction of the PI and Program Coordinator, perform research-related administrative support tasks, including research
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This position will require the employee to: - Interact professionally and with ease with adults from very diverse backgrounds and life circumstances from the Pittsburgh area. - Quickly learn and conduct accurate
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executing data collection and analysis for multiple research projects, with special attention to Crisis Response projects. Candidate must have a degree – preferably a master’s degree, PhD, or PhD candidate
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executing data collection and analysis for multiple research projects, with special attention to Youth Justice projects. Candidate must have a degree – preferably a master’s degree, PhD, or PhD candidate
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State University of New York University at Albany | Albany, New York | United States | about 3 hours ago
innovative research and work on projects alongside faculty and researchers at CTG UAlbany. To learn more about CTG UAlbany visit http://www.ctg.albany.edu . CTG UAlbany's research portfolio focuses
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to these challenges, working with high performance and distributed computing environments, working with large-scale machine learning models, and a proven research record of scholarly contributions through publications
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or scholarship responsibilities may include carrying out research projects in collaboration with the TBI center faculty as well as establishing their own independent research program aiming
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for the AI Security Researcher role. Originally created in response to one of the first computer viruses -- the Morris worm – in 1988, CERT has remained a leader in cybersecurity research, improving
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performance. Duties and responsibilities include the development of new abstractions and algorithms using computational sheaf theory. Such algorithms will be developed for understanding composite energy-driven