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; cyber-physical systems; cybersecurity; digital forensics; machine learning and artificial intelligence; semiconductors and microelectronics; power and energy systems; signal processing; and space-based
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this with expertise in high-performance computing and artificial intelligence using unique scientific infrastructures. Are you excited about working at the interface of natural and computer sciences? At
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for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows
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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | 3 months ago
Intelligence Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 27 Jan 2026 - 12:00 (Europe/Warsaw) Country Poland Type
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Chair Prof./Prof./Associate Prof./Assistant Prof./RAP in Faculty of Computer & Mathematical Sciences
OF COMPUTER AND MATHEMATICAL SCIENCES Department of Applied Mathematics Department of Computing Department of Data Science and Artificial Intelligence For more information about PolyU, its faculties, schools
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OF HUMANITIES Department of Chinese History and Culture Department of English and Communication Department of Language Science and Technology Division of Artificial Intelligence and the Humanities For more
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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. • Demonstrable experience in Artificial Intelligence (publications or code development) including robotics, computer vision, natural language processing, information organization and retrieval, biomedical
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of Public Health Program. They are advisors and mentors to a wide variety of students. Our current faculty members are leaders in artificial intelligence, big data analysis, cancer, genetics, infectious
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value chains to enable AI-based applications, using methods and models from e.g. operations research, data analytics or artificial intelligence/machine learning. Identify, structure and prioritise