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optimization, systems and control, artificial intelligence and data science, and decision-making for complex engineering systems, including robotics and autonomous systems. ESD undergraduates are prepared for a
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., Liapis A. (eds) Computational Intelligence in Music, Sound, Art and Design. EvoMUSART 2017. Boden, M. Creativity and Art: Three Roads to Surprise, Oxford University Press, 2010. Moura, Leonel and
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MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Dhabi Kalan, Haryana | India | about 2 months ago
28 Aug 2026 Job Information Organisation/Company MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE Research Field Mathematics Researcher Profile Recognised Researcher (R2) Established
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service, or other non-merit factor. Deadline to apply: October 16, 2026 For more information on position requisition (503968) and to apply: https://careers.nmsu.edu/jobs/assistant-professor-artificial-intelligence-education-las-cruces-new-mexico-united-states
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and engineering. Research areas of interest include: Artificial intelligence and machine learning for materials discovery Computational and multiscale materials modelling Biomaterials, bio-inspired
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intelligence, visualization, virtual and augmented reality, interactive systems, and related creative and computational disciplines. The successful candidate will have opportunities to advise VCIM
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Posting Details Posting Summary Logo Posting Number FAC00136PO25 Advertised Title Assistant Professor of Computational Linguistics and AI Campus Columbia College/Division College of Arts and Sciences
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and education in artificial intelligence, specifically focusing on natural language processing, computational linguistics, and data science. The main lab research areas are Arabic natural language
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
related quantitative field (Computer Science, Artificial Intelligence, Statistics, Mathematics, Physics, Computational Biology/Chemistry). Candidates will be considered at junior or more senior levels
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research program in computational oncology, centred on new quantitative and machine-learning methods, including artificial intelligence and generative modelling, that integrate single-cell genomics and