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Field
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to apply. The position will be under the direction of Professor Anthony Yeates and will primarily involve optimisation of a numerical magnetic field model for the global solar magnetic field against
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methods to estimate the uncertainty in the daily predictions What do we expect from you? We seek a scientifically curious researcher who is passionate about understanding the environment. You should hold a
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in human factors/systems engineering and in implementation science. Dr. Ramly’s research program develops and tests innovative methods for the human-centered design and implementation of systems
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About the Opportunity JOB SUMMARY The Blazek group performs research in cosmology, including both theoretical, observational, and numerical methods. We are involved in analysis of DES data and
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supports numerous K-12 science outreach programs, offering summer science camps, campus tours, and in-school events that introduce students to anatomy and its relationship to medical education. Position
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resources, a real-time coastal processes numerical modeling framework, and data management and dissemination infrastructure. Job Duties The postdoctoral scholar is responsible for independent and
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probabilistic models, hybrid numerical approaches, computational algorithms, and integrated software platforms for modeling and managing the interactions among urban infrastructure and environment networks
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
other sciences. This instructional mission is supported by a strong managerial, administrative, and technical staff. Duties of these employees range from budget planning and management for the numerous
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United States of America, including several Indigenous communities. The project relies on a range of ethnographic methods, including art-based approaches to elicit participation, and community specific dialogues that seek
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simulations to design and assess scenarios for risk mitigation. For Active-Frie problem domain, we seek candidates with strong background in analytical and computational methods related to physics-based