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Will you be in Houston for the 2026 American Meteorological Society Annual Meeting? We’d love to see you! Join fellow Wolfpack alumni, students, faculty and friends for an evening of connection and celebration hosted by NC State’s Department of Marine, Earth and Atmospheric Sciences. Whether you graduated recently or decades ago, this is a great opportunity to… |
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CHASS & COS Career Fair Preparation Day Monday, February 2, 10 AM - 3 PM, Talley Room 3222 Getting Ready for the career fair? Stop by the prep day for extended drop-in support, including resume reviews, elevator pitch practice, and guidance on navigating the career fair with confidence! |
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Speaker - Josh Stone, Assistant Professor, University of South Carolina. Hosted by Kate Davis.Seminar Title - Giants of the Bermuda Triangle: Rhizaria Ecology of the Sargasso SeaAbstract - Planktonic Rhizaria are a group of large single-celled organisms that grow mineralized skeletons and can be abundant in open ocean ecosystems. However, little is known about their abundance, seasonality, and… |
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Attend a career fair for the College of Sciences in the Talley Student Union on Feb. 9. View what employers will be there. |
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Speaker - Sofia Montalvo, Operations Technical Director, U.S. National Ice Center. Hosted by Allison Michaelis. Title - US National Ice Center: Who we are, What we do, Why and How we do it. |
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Speaker - Drew Pendergrass, Postdoctoral Associate, Duke University Nicholas School of the Environment. Hosted by Zhen Qu.Seminar Title - Data-driven quantification of warming-induced emissionsAbstract - As the climate changes, emissions of certain atmospheric constituents may increase. In this talk, I will primarily discuss the impacts of a warming climate on global methane emissions.  Methane concentrations surged in 2020 and… |
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Speaker - Greg Hakim, Professor, University of Washington. This semester's special Braham Seminar.Seminar Title - Using Machine-Learning Weather Models to Study Predictability and Extreme EventsAbstract - Recently developed machine-learning (ML) weather models have been widely recognized for revolutionizing weather prediction, producing forecasts more skillful than traditional models at a fraction of the computational cost. Here I will argue that… |
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