168 machine-learning "https:" "https:" "https:" "https:" "https:" "VIETNAMESE GERMAN UNIVERSITY" positions at NEW YORK UNIVERSITY ABU DHABI
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to the excellence and vibrancy of our academic community. Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply. About NYU Abu Dhabi https
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topics: Free space optical communication Visible light communication DSP for coherent optical communication Machine learning and AI-native physical layer design Optical reconfigurable intelligent surfaces
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cover letter, curriculum vitae with full publication list, statement of research interests, at least two reference letters and a transcript, all in PDF format. Please visit our website at https
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access and opportunity; and fostering academic excellence in learning, research, and teaching. UAE Nationals are encouraged to apply. Where to apply Website https://www.timeshighereducation.com/unijobs
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attending social science conferences, is expected and supported. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to
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exploring new modes of human-computer interactions. Has demonstrated experience in exhibiting works and/or presenting at festivals and conferences, with the ability to teach and support students in developing
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find further information about our group at: https://nyuad.nyu.edu/en/academics/academic-divisions/social-science/economics/faculty.html . About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is
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research environment, with a potential to work with a Quantum Computer through our collaboration partners. The Center possesses the unique possibility to investigate cutting-edge interdisciplinary questions
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to apply Website https://www.timeshighereducation.com/unijobs/listing/408037/post-doctoral-assoc… Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteNEW YORK
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of Artificial Intelligence and Robotics at NYU Abu Dhabi the group of Prof. Kostas J. Kyriakopoulos seeks to improve the autonomy of Field Robotic systems by fusing control theoretic and machine intelligence