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Field
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management systems in complex organizations with multiple stakeholders, authors, and editors. Proven experience in marketing, with a focus on strategic marketing leadership and management within the digital
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at FIU to uplift and accelerate learner success in a global city by focusing in the areas of environment, health, innovation, and justice. Today, FIU has two campuses and multiple centers. FIU serves a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
of the most diverse health databases in history. Nutrition for Precision Health, powered by the All of Us Research Program is a new initiative to develop algorithms that predict individual responses to food and
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climate events in the Western US. CW3E is developing and implementing weather and climate observations, numerical models, machine learning algorithms, and decision support tools focused on atmospheric and
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(PNT) and geolocation systems definition, design and development. The PNT and geolocation domain covers the end-to-end (E2E) engineering of PNT and geolocation systems at system, space, ground and user
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are critical especially around congested or critical infrastructures. This research aims to develop decision making and planning algorithms that can mitigate the risks challenging environments of AAM
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for outcome assessments for a range of brain diseases. The individual will schedule, train, and supervise research assistants, students, and instructors. They must ensure: 1) patient confidentiality and safety
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engineering systems analysis/optimization, or computational algorithms § Familiarity with multiple computer languages, including Python. § Ability to develop prototypes of tools needed to analyze data. Â
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enable the development of fault-tolerant quantum computing hardware and quantum algorithms that solve life-science-relevant chemical and biological problems. Within NQCP we are currently pursuing several
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Bioinformatician at the intermediate or senior level. The Breuss laboratory is focused on employing and developing statistical machine learning, bioinformatic algorithms, and related approaches for the detection