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component, particularly magnetic components, Optimization and surrogate-modeling in Python, Integration of machine learning and numerical methods. We encourage applications from candidates with a strong
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC-Chapel Hill offers full-time employees a comprehensive benefits
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. Computer science, ranging from classical programming to computational tools for engineers (data models, numerical computation, simulation, optimization), is an integral part of the curriculum. In recent years
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts
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). Adapting new standards will ensure that animal well-being is optimal, the on-farm energy use is maximized, and work to differentiate Michigan products for the consumer. The candidate will work within the
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linkages based on numerical simulations and to transform them into AI- and ML-ready information to develop and implement an indirect inverse optimization framework to identify microstructures that exhibit
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the Associate Dean, Director(s), Assistant Director(s), and Senior Advisor(s) in the planning and the development of office policies and procedures designed to optimize the delivery of advising and academic
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operational factors impacting student employment such as Workday processes, existing norms, and areas for improvement, to optimize compliance, efficiency, and service to departments. Drafts templates and
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include: Performing numerical simulations of magnetic systems to generate magnetometry data for the ML training process, Implementing and testing various neural network architectures to optimally analyze
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and ML driven screening and optimization workflow to improve the generality of modern synthetic methods. Our first objective is to identify structural patterns and scaffolds that are accessible by