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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 22 days ago
of Pharmacy in the U.S. by the U.S. News and World Report. The School has experienced unprecedented growth and success and continues to strategically position itself for sustained impact, as articulated in
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, and physical systems. The successful candidate will contribute to cutting-edge research at the intersection of artificial intelligence, computational science, and engineering. Current Research
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www.universiteitleiden.nl/en/working-at The Leiden Institute of Advanced Computer Science (LIACS) is the Artificial Intelligence and Computer Science Institute in the Faculty of Science of Leiden University. We offer courses
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recruited into the WISE program will be a part of the WISE Research School https://wise-materials.org/research-school/ an ambitious nationwide program of seminars, courses, research visits, and other
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. The institute also aims at training the future generation of scientists by offering high-quality educational programs to masters, PhD students and postdoctoral researchers (full details on http://www.iciq.org
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) Country Italy Type of Contract Other Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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Job Description Applications are invited for a Postdoctoral Associate position within Wireless@Virginia Tech (https://wireless.vt.edu/) in the Bradley Department of Electrical and Computer
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Center of Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu
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Classification Title: Post-Doctoral Associate in Philosophy and Ethics of Artificial Intelligence Classification Minimum Requirements: A PhD in Philosophy, Computer Science, or another AI-related
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-scale nature, complexity, and heterogeneity of 6G networks, we use tools such as artificial intelligence/machine learning, quantum computing, graph theory, graph-signal processing, and convex/non-convex