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October 2026 Apply now Do you want to use artificial intelligence, geospatial data science, and urban analytics to create healthier and more equitable cities? Are you excited about developing innovative AI
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assurance and analysis of data on costs, resource use and outcomes together with our in-country partners, including field visits to Rwanda and/or Uganda. Building and extending a decision-analytic (Markov
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projects focused on optimization, data analytics, and control of power distribution systems. This position offers the opportunity to collaborate closely with utility company partners and national
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 hour ago
. Knowledge of model validation, uncertainty assessment, data assimilation, model initialization, downscaling, or related model-data integration approaches. Excellent analytical, critical-thinking, and problem
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systems, data collection for machine learning, wireless physical layer, radio electronics, explainable AI strong problem solving and analytical skills. To keep our community safe, please be aware of our
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intellectual rigor, intentionality, respect, inclusion, and collaboration. For more information about Baylor College of Medicine and the Center for Medical Ethics and Health Policy, visit our website
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University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here . Duties
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principles and theories. 5. Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. 6. Adheres to University and unit-level policies and
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, an understanding of computational data analysis is highly encouraged and supported. Research activities may include: Culture and maintenance of mammalian cancer cell lines and our established pre-clinical platform
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efficient transmission and robust communication. This work involves formulating rigorous analytical models, designing efficient algorithms, and establishing performance characterization methods that drive