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consultant should have facility with a variety of computational tools, including fluent data programming skills and an understanding of numerical algorithms used in data modeling and analysis. CSCAR @ ISR
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 days ago
development and lifelong learning 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
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community ranked as one of the best places to live in the U.S. The growing region surrounding Fayetteville is home to numerous Fortune 500 companies and one of the nation’s strongest economies. Northwest
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space for supportive colleague communities via numerous employee resource groups. We invite applicants who are inspired by our Principles of Community and who are eager to be part of our exciting
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accurate. The position performs blood and body fluid analysis in one or more of the technical sections including, Chemistry/Special Chemistry, Hematology/Hemostasis, Immunology, Point of Care (POC
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for research and data analysis purposes (e.g. Python or similar languages), experience with eye-tracking or physiological sensing methods, as well as strong numerical and analytical skills. Competent in general
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related field, or an equivalent combination of education and experience. Minimum of 2 years-experience with account management in a multi-fund source environment. Experience in financial analysis and fiscal
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interferometry, etc.), (v) Predictive modelling of coupled phenomena (reactive transport, rock-water interactions, etc.), (vi) Uncertainty quantification (Monte Carlo, meta-modelling), and (vii) Risk analysis. The
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, climate science, physics, mathematics, or a related field (PhD is advantageous) Experience with numerical modelling and analysis of large simulation datasets Knowledge of ocean biogeochemistry or Earth
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: Degree in computer science, computational science, applied mathematics, or a related field Experience with numerical modelling and analysis and handling of large simulation datasets Strong knowledge of HPC