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Collective Intelligence Project (CIP) Research Fellowship Eligibility: Late-stage PhD candidates (ABD) or early-career postdoctoral researchers in Political Science, Computational Social Science
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under the supervision of a professor Write papers and present the research work to a wide audience Job Requirements: Preferably PhD degree in Computer Science or Artificial Intelligence. Strong track
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: PhD in Computer Science, Cybersecurity, Artificial Intelligence or related fields Strong background in AI/ML, particularly in interpretable AI, generative models, reinforcement learning or agent-based
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Fellow to develop and evaluate artificial intelligence methods for physical medical procedures. The fellow will design and implement machine learning models to analyze procedural data, support clinical
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of artificial intelligence and strategic management, with emphasis on strategic decision-making, managerial cognition, and problem formulation. The successful candidate will participate in organizational field
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Responsibilities: To independently undertake research in artificial intelligence and computer vision tools. To use these tools for interpret the acoustic sensing results. To produce research reports and/or
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Engineering. This position is for a Postdoctoral Scholar in the area of information theory and artificial intelligence at the Harvard Information Theory Laboratory . The successful candidate will work under the
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artificial intelligence in a collaboration between Geology and Sustainable Mining Institute (UM6P, Morocco), and Mineral-X (Stanford University, USA). Qualifications PhD in process mineralogy, mineral
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, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and other quantitative and data-driven sciences. CBDS functions as a strategic platform for cutting-edge research, education, and services in data
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and ethics for PhD candidates at the University of Bergen in collaboration with the faculties. The Centre also hosts University of Bergen’s Master’s Programme in Sustainability, and the