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or expand include: metabolism (spatial-biology, metabolomics, metabolic flux analysis, and artificial intelligence), structural biochemistry (macromolecular structure using cryo-EM, X-ray crystallography, and
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teaching and research in the field of official statistics. The position is expected to combine the research focus of the LMU Department of Statistics in statistics, data science, and artificial intelligence
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invite applications for tenured faculty positions in Artificial Intelligence and its Mathematical and Computational Foundations. We seek outstanding scholars across the broad landscape of modern AI
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the development and validation of artificial intelligence (AI) systems for medical diagnostic imaging. A primary objective is the design of high-reliability models for the automated detection, classification, and
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"Gheorghe Mihoc - Caius Iacob" Institute of Statistical Mathematics and Applied Mathematics of Romanian Academy | Romania | about 2 months ago
Research Infrastructure? Yes Offer Description Participating in research and development activities by implementing, testing and validating biomedical data analysis methods, artificial intelligence and
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students in critical debate on what it means to be good democratic citizens in the digital age, with special attention to the promises and problems of social media and artificial intelligence. Second
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expertise in artificial intelligence (AI)-enabled chemistry or biochemistry to fill a tenure-track position at the Assistant Professor rank beginning August 16, 2027. Detailed Position Information
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thrive. Champaign-Urbana Artificial Intelligence (AI) tools may be used in some portions of the candidate review process for this position; however, all employment decisions will be made by a person. This
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following competencies: applied mathematics, statistics and probabilities data science, machine learning, artificial intelligence optimisation power system management, integration of renewables energy
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(https://endomic.github.io) aims to develop artificial intelligence and statistical-learning methods capable of identifying robust and clinically meaningful disease endotypes from heterogeneous, multimodal