17 computer-science-programming-languages-"U.S"-"U.S" Fellowship positions at Carnegie Mellon University
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to healthier, cleaner, more efficient future for all. A research collaboration is being funded by the Energy and Environment Solutions (E2S) program of the Universite de Pau et des Pays de l’Adour (UPPA) and
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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their time to advancing their creative writing, with occasional opportunities to teach. Applicants must be eligible for CMU?s Artists and Scholars at Risk Program and apply through the International Cities
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: Computational Biology Department (CBD) Computer Science Department (CSD) Human?Computer Interaction Institute (HCII) Language Technologies Institute (LTI) Machine Learning Department (MLD) Robotics Institute (RI
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be disseminated through academic publications and online webinars. The successful candidate will have a PhD in human-computer interactions or computer science and related fields, with demonstrable
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the full spectrum of advantages from comprehensive medical, prescription, dental, and vision insurance to an enticing retirement savings program offering a generous employer contribution. You can also
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; for example, a Ph.D. in social psychology with no experience in engineering or computational approaches would not be acceptable. Experience with programming (Python, Java, Javascript, PhP, and others) Training
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Research Statement (maximum three pages), outlining a compelling long-term vision for a research program whose development would be supported by participation in the CBI Fellowship Program: How will you use
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duties as assigned. Requirements: Doctorate Degree in Computer Science, Electrical Engineering, or a related field. Strong background in computer vision and deep learning. Proven record of first-author