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primary supervisor. Jennifer Flagg, executive director of the Center for Supply Chain Analytics will provide additional supervision and direction. Learn more: Our benefits , where we prioritize your well
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% – Agricultural Data Analytics, Machine Learning, and Remote Sensing Develop, evaluate, and implement machine learning and data analytics approaches for quantifying crop phenotypic and agronomic traits. Process and
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, logic models, measurement plans, and analytic strategies to guide implementation, evaluation, and continuous learning. • Leading and conducting analyses that generate actionable insights for policy
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or more of the following: data-driven logistics/supply chain, supply chain analytics, experimental methods, statistical analysis and probability, and/or machine learning/artificial intelligence
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learning, reinforcement learning, transformer architectures and large language models. - Analytical many-body and quantum information theory: replica field theory approaches to monitored and noisy quantum
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mission by developing and applying advanced analytical and experimental approaches to address complex interdisciplinary environmental and infrastructure challenges relevant to NH. The postdoc’s work
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related to electrodialysis, or sufficient background to quickly learn the topics; familiarity with analytical techniques such as chromatography and mass spectroscopy; strong analytical and problem-solving
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/Analytics (Machine Learning, ML/Artificial Intelligence, Al) in the context of advanced manufacturing systems in general and additive manufacturing systems more specifically. UNT has a highly diverse campus
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learning (RL). 2) The Automation Group: Experts in designing and deploying custom robotic systems engineered for high-throughput sample synthesis, processing, and analytical characterization. This role is
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leading experts in autism research, computer vision, machine learning, psychiatry, and developmental science to develop innovative technologies that improve how caregiver-child interactions and