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general circulation model, analyzing ground-based and satellite measurements, and conducting data-model comparisons. In accordance with USCIS regulations, successful applicants must be legally able
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Environmental Sciences in the College of Science, at the University of Texas at Arlington, invites applications for a Postdoctoral Research Associate position in air quality modeling and forecasting of extreme
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data models within a lakehouse environment, utilizing Apache Spark or PySpark for scalable data processing and advanced transformations. The individual ensures seamless integration into enterprise-level
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leadership. Develops predictive and statistical data models using tools like Python or R, leveraging the data lakehouse platform for scalable data processing. Analyzes, validates, and cleans large datasets
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scintillations during storm and quiet time. Primary responsibilities include analyzing GNSS measurements and other satellite data and conducting data-model comparisons. In accordance with USCIS regulations
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Interdisciplinary Training in Mathematics for Human Health,” supported by the National Science Foundation. RTG themes include modeling in cancer biology, computational neuroscience, and mathematical epidemiology
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reconciliation, employee reimbursements, and journal entries. Develop tools and analytical models to support long-term financial planning, forecast needs, assess spending trends, and improve operational efficiency
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. Demonstrated success in developing and implementing distance learning systems, models and application with positive results and feedback from customers and instructors. Demonstrated ability to plan, launch, and
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, design and document engineering change for part revisions. Create model-based definition, which includes 2D and 3D annotations, for detail, assembly, and installation of aircraft components and engineering
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partnership models. Professional interpersonal skills with the ability to communicate effectively with parents, youth participants, instructors, school personnel, and community partners. Skilled in preparing