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Field
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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dramatic upheaval as a result of rapid technological change driven simultaneously by digitization, the application of artificial intelligence and machine learning to all facets of company, economic, and
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at the intersection of artificial intelligence (AI), natural language processing (NLP), digital health, and health equity. This position is funded by the UBC AI and Health Network Fellows Program. Under the supervision
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 17 days ago
therapeutics and generic drugs. This effort covers more than just medicines. Research Project: This project applies artificial intelligence (AI) and machine learning (ML) to advance precision medicine by
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
the discrepancy between theoretical predictions and the actual observed behavior. The objective is to develop model-based artificial neural network tools that combine the strengths of traditional numerical
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, or related field Strong research background in computer vision, machine learning, artificial intelligence, and/or robotics Established record of publication in the top venues in the field (e.g. CVPR
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external funding Experience and/or interest in learning new skills in programming, multivariate analysis and use of artificial intelligence tools Experience coordinating projects and administrative tasks
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for Artificial Intelligence and Data Science. The Jacobs School is recruiting for two tenure-track faculty positions: Assistant Professor – AI-Guided Organoid-Based Neuroscience The Jacobs School seeks a tenure
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association or cooperation with one or more R&D units.” 3. Project Objectives: Development and control of sustainable energy systems using artificial cognitive intelligence. 4. Applicable Legislation and
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for machine learning and artificial intelligence, with a strong emphasis on developing and applying models such as LSTM and other time-series analyses to predict the longevity and behaviour of bioactive