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admissions and continued stay. Skill to perform in-depth chart analysis to provide accurate information in a concise, informative manner, identify/analyze problems or issues related to areas of responsibility
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Are you experienced in integrating field data and remote sensing data with numerical modelling to quantify interactions within ecosystems? Then apply to the open position as associate professor in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
. Additionally, members of the SPI are productive researchers with numerous national and foundational grants. The postdoctoral fellow will be encouraged to partner with a research mentor to advance the knowledge
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computation. We seek candidates with demonstrated expertise in development and/or assessment of environmental monitoring. This may include data collection and analysis related to air, water, climate, and
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insurance, generous paid leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised
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identification of projects, administration and submittal of all utility incentive applications, lead technical advisor through project delivery and preparation and analysis of measurement and verifications data
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and staff. Knowledge of data acquisition and analysis techniques. Advanced knowledge of research discipline or instructional design to collaborate effectively with faculty and function as a resource to
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. Develop, maintain, and support data analysis, AI and Machine Learning pipelines. Confidently solve regression, classification, clustering, forecasting, and anomaly detection problems using established
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to, scheduled process management, workflow development/troubleshooting, BICC administration, and quarterly release impact analysis. The position also provides tier 3 support for ERP and Oracle Cloud Enterprise
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales