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Field
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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and Planning division. SMoG is an internationally oriented research group investigating how urban form influences urban life through rigorous spatial analysis and empirically validated models. Its long
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 15 hours ago
Posting Details Posting Details University Information The University of North Carolina Wilmington, the state’s coastal university, is dedicated to the integration of teaching, mentoring, research
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Work group: Institute of Coastal Environmental Chemistry Area of research: Scientific / postdoctoral posts
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/Responsibilities: Develop and apply AI foundation models for hydrological and Earth system modeling, with emphasis on improving predictive capabilities for compound flooding in coastal regions. Design and implement
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particular in terms of seismic risks and underwater noise pollution, by relying on numerical modeling of seismo-acoustic wave propagation generated by underwater explosions and on seismic and acoustic data
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-Thurs 8:00am-5:00pm, and Fri 8:00am-12:30pm Job Details Coastal Carolina University is currently accepting applications for the following full-time position: Area Coordinator in University Housing
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has knowledge of current civil and coastal engineering practices, as well as familiarity or expertise within one or more of the following technical areas: Computational wind, wave and surge modeling
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meaningful explanations when unexpected situations arise. We plan to represent and model expectations using formal methods, develop techniques that help a system reason about human expectations at runtime, and