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, fractures and fractured ice piles up. Your role and goals The successful candidate will conduct doctoral research on the numerical modelling of sea ice accumulations against coastline and coastal structures
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Posting Summary Logo Posting Number RTF00204PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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WPI-AIMEC established by Tohoku University and JAMSTEC | JP Nagar III Phase, Karnataka | India | about 2 months ago
in coastal marine ecosystems and the impact of human activities GC5:Promoting planetary stewardship through projection of marine ecosystem change For details of these GCs, please refer below. https
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an understanding of large language models or conversational AI frameworks (e.g., OpenAI API, Gemini AI). You have experience setting up and maintaining databases (e.g. SQLite, MySQL). You have an
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Experience Doctoral (PhD) degree in Civil, Ocean, Mechanical Engineering or related field with a focus on Coastal Systems, Coastal Numerical Modeling, Nearshore Field Data Collection, Hydraulic Engineering
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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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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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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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/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