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applying a range of economic methods such as economic evaluation, health technology assessment or health utilisation modelling Strong analytical skills and ability to build partnerships Track record
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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many areas of applied and theoretical statistics and data science, and is heavily involved in research at the crossing of statistics and machine learning. The focus of this postdoctoral fellowship is to
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, and learning how scientific information is translated into resources that support public health practice. Appointment Activities: Participate in training related to extreme weather and health
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characterization, measurement-based modeling, and dataset generation for dynamic indoor and outdoor-to-indoor scenarios. Investigating ISAC-derived context awareness and generalizable learning for robust wireless
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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our education, while benefitting them with our talent supply and collaborative research achievements. The University’s unique applied learning pedagogy integrates work and study, embedding authentic
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of Chemistry in the College of Arts + Sciences at Indiana University consists of a well-rounded research community with cutting-edge expertise in a wide variety of modern disciplines including analytical
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with experience. • Demonstrated research experience in Modelling and Simulation (M&S) and decision support analytics, stakeholder engagement and an active research agenda evidenced by research, supported
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equipment or related technologies artificial intelligence, machine learning, image analytics, computer vision or related computational approaches applied to healthcare research (desirable) a peer-reviewed