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We have 5 Computer Science PhD Projects, Programmes & Scholarships in Rochester

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Rochester  USA

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Computer Science PhD Projects, Programmes & Scholarships in Rochester

We have 5 Computer Science PhD Projects, Programmes & Scholarships in Rochester

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Color Science Ph.D.

Rochester Institute of Technology USA Integrated Sciences Academy
Color has been an intense topic of interest for thousands of years. Mathematicians, philosophers, physicists, physiologists, poets, and other disciplines have all contributed to our understanding of color. Read more
 Supervisor: Prof SF Farnand
 Year round applications  PhD Research Project  Funded PhD Project (Students Worldwide)
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Cognitive Science PhD

Rochester Institute of Technology USA NTID Space Research Center
RIT's Cognitive Science Ph.D. provides an interdisciplinary study of the human mind that combines insights from psychology, computer science, linguistics, neuroscience, augmented reality, and philosophy. Read more
 Supervisor: Dr M Dye
 Year round applications  PhD Research Project  Funded PhD Project (Students Worldwide)
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Imaging Science PhD

Rochester Institute of Technology USA Chester F. Carlson Center for Imaging Science
The Ph.D. in imaging science signifies high achievement in scholarship and independent investigation in the diverse aspects of imaging science. Read more
 Supervisor: Prof CB Bachmann
 Year round applications  PhD Research Project  Funded PhD Project (Students Worldwide)
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Electrical and Computer Engineering Ph.D.

Rochester Institute of Technology USA Department of Electrical and Microelectronic Engineering
Offered jointly by the department of electrical and microelectronic engineering and the department of computer engineering, students in RIT’s Ph.D. Read more
 Supervisor: Prof AK Kwasinski
 Year round applications  PhD Research Project  Funded PhD Project (Students Worldwide)
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Artificial Intelligence - Computer Vision

Rochester Institute of Technology USA Department of Computing and Information Sciences
Our research efforts aim to understand the nature of visual perception so that we can create more visually intelligent machines. This is enabled via fundamental concepts in reasoning, prediction, supervised, semi-supervised and unsupervised learning, and stochastic optimization techniques. Read more
 Supervisor: Prof PS Shi
 Year round applications  PhD Research Project  Funded PhD Project (Students Worldwide)
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