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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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the position, the candidate must have an internationally recognized track record in synoptic scale dynamic meteorology and in numerical weather prediction methods and/or multi-scale meteorological modeling and
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performed by the PhD candidate will be supported by numerical modelling performed within the hosting team and by a partner team of ANR MultiMAGe. Expected skills. _Required_: 1 - Excellent understanding
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
interested in recruiting faculty members who use and develop artificial intelligence methods and mechanistic mathematical models to address fundamental questions in biology. Examples of research topics include
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cyclic loading, numerical modelling, lifecycle and sustainability assessment, and pilot testing and monitoring in Norway. The specific activities may be adjusted or further developed based on project needs
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full-scale structural testing of sleepers under static and cyclic loading, numerical modelling, lifecycle and sustainability assessment, and pilot testing and monitoring in Norway. The specific
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researcher to conduct education and research related to the development of AI-based subseasonal-to-seasonal prediction models. https://www.jst.go.jp/k-program/program/kaiyou4.html [Work content and job
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC
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modelling for planning structural heart interventions. Where to apply Website https://2411.webcruiter.no/Main2/Recruit/Public/5167557384 Requirements Research FieldEngineering » Biomedical
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of a vast and widespread amount of data are creating new economic and social opportunities in various fields. These developments are also posing numerous new scientific challenges for the optimization