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learning, statistical learning, and data mining principles and practices. Experience in developing and validating predictive models using large-scale clinical data, particularly Electronic Health Records
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predictive models for natural hazard-related data. Experience with data visualization tools and programming languages (e.g., R, Python, SQL). Experience with data management and data analytics in cloud-based
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data mining, player modeling, user experience design in games, adaptive and personalized gameplay, player engagement, predictive modeling of player behavior, and applications of machine learning and AI
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work on molecular dynamics simulations, where molecular interactions are predicted by neural network potentials. These state-of-the-art neural network models promise simulations at unprecedented accuracy
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Well-Being Global Water, Sanitation and Hygiene High-dimensional Integration of Biological Systems Leadership in Public Science Microbiomes and Complex Microbial Communities Modeling the Living Embryo
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Well-Being Global Water, Sanitation and Hygiene High-dimensional Integration of Biological Systems Leadership in Public Science Microbiomes and Complex Microbial Communities Modeling the Living Embryo
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, predictive modeling of hydrologic extremes, and strategic water use to support economic development (e.g. water use for data centers and other industrial facilities). This work will discover new knowledge and
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, enabling querying vision models using natural languages. This new class of vision models, referred to as Vision-Language Models (VLM), is able to make predictions beyond the classes covered by their training
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seeks a strong combination of experimental work supported by computational modeling to predict the properties and performance of energy storage platforms. The department will also consider tenured
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, or tools that significantly enhance how players interact with, experience, and/or create games. Relevant subareas include, but are not limited to: player modeling and behavior prediction in games, adaptive