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used will the information-theoretic Bayesian minimum message length (MML) principle. Student cohort PhD, possibly Master’s (Minor Thesis) or Honours URLs/references Chen, Li and Gao, Jiti and Vahid
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Center for Intelligent Optics (CIO
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ECONOMICS (LSBE) DEPARTMENT OF ECONOMICS AND HEALTH CARE MANAGEMENT PART-TIME, NON-TENURE TRACK ADJUNCT FACULTY IN HEALTH CARE MANAGEMENT http://www1.umn.edu/ohr/employment/ The Labovitz School of Business
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motivated member with Ph.D. degree with outstanding academic achievements in the field relating to degree in Biomedical engineering/Bioinformatics/Medical informatics/Artificial Intelligence, or a related
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 28 days ago
the Professional Services Group. The School of Computing has a strong foundation in computing and information sciences at the University. We are a transformative centre for research in artificial intelligence and
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, behavior customization. Design and evaluation of interactions in real environments. It will be assessed: Have completed a master's degree in Artificial Intelligence and a degree in Computer Engineering
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, cybersecurity, urban informatics, data sciences, artificial intelligence, renewable energy, and health, among others. Our faculty and students are part of the high-tech start-up culture in New York City and in
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community and thrive in this role, you will likely have the following skills and experience: Qualifications PhD in Computer Science, Engineering, or related discipline Strong publication record in top-tier AI
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assigned. LICENSES, TOOLS, AND EQUIPMENT: Personal computers and printers, electronic mail, word processing, database management, spreadsheet software, research statistical and data analysis software as
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Machine Intelligence (CVI²) research group (CVI² Group ), led by Prof. Djamila Aouada, to pursue a PhD in Computer Vision with a focus on Media Forensics and Deepfake Detection. The candidate will conduct