11 deep-learning-phd "Computer Vision Center" Fellowship positions at Cornell University
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, United States of America [map ] Subject Areas: Electrical and Computer Engineering / artificial intelligence , Artificial Intelligence and Machine Learning (AI/ML) Starting Date: 2026/01/01 Salary Range: $62,232-$80,000
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, Social Sciences , Biomedical Informatics , Causal Inference , Computational Social Science , Data Science and Information , Data Visualization , Deep Learning , High dimensional Data , Large Language
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, and the ability to read related scientific papers on cancer combination therapy. It would also require expertise in relevant AI methodology, such as deep learning architectures for property prediction
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to develop and deploy advanced AI-driven learning, prediction, and decision-making tools to transform millions of plug-in electric vehicles (EVs) into a vast, distributed network of mobile batteries
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machine learning (ML), as well as AI-enabled science. Specifically, our goals are to pioneer cutting-edge technical research that will transform current AI paradigms, bring about deep understanding of AI
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veterinary technician simulation training as well as internal and external continuing education. This experience will provide the foundation necessary to: identify the learning needs of diverse audiences
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the foundation necessary to: identify the learning needs of diverse audiences create robust simulation cases and courses based on specific learning objectives develop and refine debriefing skills for all levels
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of the programs is to advance foundational and applied research in contemporary artificial intelligence (AI) and machine learning (ML), as well as AI-enabled science. Specifically, our goals are to pioneer cutting
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policy and practice, from local to global, through the support of postdoctoral fellowships focused on wildlife health and related One Health challenges over the next decade (for DVMs or equivalents, PhDs
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working in the period between 1900 and the present. Open to scholars with PhDs in Science and Technology Studies and related fields whose research engages with both the social and epistemic dimensions