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Job Description Are you excited about scientific AI and developing efficient computer vision methods for analysis of complex 3D scans of natural heritage samples? Join our interdisciplinary team as a
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access to, and results of, AI research and applications across the social, environmental, and data sciences at Yale. To carry out this work, GAI Lead will forge connections with experts at other AI
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. Publish research results in leading journals and conferences in machine learning, computer vision, and computational imaging. Contribute to research-based teaching and supervision of MSc and BSc student
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(but not limited to) statistical analysis, geospatial analysis, textual analysis, automated content analysis, natural language processing, computer vision, remote sensing/satellite imagery, social
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) statistical analysis, geospatial analysis, textual analysis, automated content analysis, natural language processing, computer vision, remote sensing/satellite imagery, social network analysis, social
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of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train
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projects with a focus on the development and application of computer vision technologies. Be part of change Conduct research and development in the fields of Artificial Intelligence (AI) and Machine