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house staff and fellows, supervising physician; particularly with respect to any unusual, unexpected, or complex issues requiring direct physician consultation or intervention. Practices safety
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particle models, stochastic PDE and models from fluid dynamics and machine learning. What skills are important in this role? Qualification requirements: The Faculty of Mathematics and Natural Sciences has a
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maintaining a high level of professionalism, discretion, customer service, and responsiveness. Manage confidential and complex calendars, requiring consistent and fluid interaction with internal and external
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Job Description The Department: The Ocean Physics Department (OPD) conducts seagoing research into the fundamental fluid dynamics of the ocean, including its interactions with the atmosphere and its
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University of California, San Francisco | San Francisco, California | United States | about 2 months ago
at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Department Description The Adult Medicine Unit is a 34 bed inpatient
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more complex projects/assignments. Independently manage significant and key aspects of a large study or all aspects of one or more small research studies. At Stanford University School of Medicine
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are the following: Operates, maintains, repairs and installs specialized and complex machinery including, but not limited to pumps, compressors, air moving/distribution equipment, motors, heal exchangers, valves
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mathematics. ICTS has an active in-house research program. Current research spans the following broad areas: Complex systems: Nonlinear dynamics and Data assimilation, Statistical physics, Fluid dynamics and
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position, you will lead the development of a probabilistic, error-aware surrogate model capable of delivering fast, uncertainty-quantified predictions for complex multiscale–multiphysics processes in OFPV
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; functional, complex, and real analysis; as well as numerical analysis and approximation of partial differential equations. Expertise in optimization; computational fluid dynamics; sparse grid methods