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safer, more reliable, and more sustainable renewable energy systems. You are driven by scientific curiosity, enjoy working with complex multi-physics models, and are eager to advance probabilistic methods
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, predictive modelling, and autonomous maintenance solutions. You thrive on scientific discovery, enjoy tackling complex multi-physics problems, and have the drive to explore innovative concepts
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to perform complex financial analysis Demonstrated knowledge of and experience in developing, negotiating, and administering major procurement contracts for technically complex goods and services Knowledge
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, the Department of Mathematics and Statistics will have a new home, including state-of-the-art research and instructional facilities, as part of an approximately $225 million STEM-Ag complex. About the College: As
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other public events. Independent work as well as collaboration with other members of the project team. Content of the research activity: Mathematical modeling and statistical data analysis. Evaluating
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 1 month ago
problems numerically, physics and mechanics have a long-standing culture to model and analyse complex systems through controlled experiments and theoretical developments. Progressively, these communities
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extensive programming ability and a strong background in mathematics and statistics with a deep interest and background in biology. The candidate is required to have a B.S./B.A. or equivalent, ideally in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
their assigned duty station. Using the Other Document please provide: Sample dashboard (PDF or screenshot) – optional • Work sample demonstrating financial or data analysis – optional Quick Link https
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This Employer https://main.hercjobs.org/jobs/21938147/system-director-financial-planning-and-analysis-decision-support Return to Search Results
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with interdisciplinary teams, skills in sensitivity analysis for ML models and a familiarity with pre processing techniques for complex and big data. Internal Application form(s) needed