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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
and enjoy exclusive perks 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
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, Applied Probability, Partial Differential Equations, Numerical Analysis, Scientific Computing, and Optimization. Candidates with portfolios that align with Saudi Arabia’s national priorities for research
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The primary purpose of the Department of Physical Medicine and Rehabilitation is to provide a full range of rehabilitation services designed to restore patients to their optimal functional capacity POSITION
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uncover optimization opportunities. Communicate and present results and business impacts of insight initiatives to stakeholders within college/unit and the University. Develop and maintain data models
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working, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped
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critical for optimizing performance and is an important ingredient in the design of high performance parts in aeronautics, energy, transport, and plenty of other domains. The theory behind the aforementioned
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optimization techniques, such as the difficulty of addressing numerous load-cases and ensuring designs are practical and buildable. The project will also consider holistic design of primary and secondary
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research leading to academic publications. The position is intended for a duration of 4 years. The optimal starting date for this position is September 2026. Profile As the ideal candidate for this position
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-driven modelling, probabilities, and stochastic optimization solutions is an advantage. Excellent modelling skills and skills in scientific programming and/or numerical computing in languages like Python
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such as additive manufacturing, quantum material design, scientific data reconstruction, for material discovery, inverse methods, complex optimization, population and evolutionary dynamics, cyber security