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in administration of crisis, conduct, and on-call roles. The Associate Dean works collaboratively with administrators in the student development division and other campus offices and serves on numerous
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optimal transport and gradient flows to machine learning and optimization applications, such as deep generative models, sampling, inference, stochastic optimization, and beyond. The doctoral student will
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Resources, Environmental Engineering, or a related field. We are seeking to recruit an integral, long-term member of our team who will contribute to environmental modeling and forecasting research across
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-Solving: Skilled at evaluating financial variances, applying policies, and recommending corrective actions. Technical Proficiency: Strong skills in Excel (pivot tables, lookups, financial modeling
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
. University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant
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. The manager will develop an annual work plan in consultation with the two supervisors and is evaluated on the success of that plan. The Department of Engineering Education (http://www.enge.vt.edu) is home to
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mentoring staff and HDR candidates and contributing to the School’s strategic priorities. Your research will centre on numerical modelling of soil behaviour, including the development of advanced constitutive
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings on local child care centers and special rates for performing arts events. Primary Purpose
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and entrepreneurial partners in the area, including Utah Valley University (UVU), Brigham Young University (BYU), a leader in education in computational methods, and numerous technology/AI companies
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. These activities are underpinned by advanced numerical simulation, data-driven methods, and high-performance computing, enabling high-fidelity analysis and predictive modelling of next-generation energy systems