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Field
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of climate pattern effects (e.g., ENSO) into risk models Regular engagement with industry partners through direct consultation Anticipated Division of Time Position Responsibilities: Development of Novel
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Are you interested in working in a transdisciplinary and international research setting on creative methods for disaster risk preparedness and climate resilience of communities across Europe? Join
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for Partial Differential Equations: Identifying and addressing research questions as part of Prof. Perugia's research group. Innovative development, analysis, and implementation of numerical models
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the SmartWheat project, SmartWheat: Harnessing AI Models for Climate-Resilient Wheat Varieties in Sustainable Agriculture, at NMBU. The successful candidate will develop AI-driven models for the analysis of UAV
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prediction Risk assessment and catastrophe modeling High-performance computing and large dataset manipulation The position involves close collaboration with industry partners in climate risk assessment
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science and engineering applied to stakeholder-relevant issues. The scientists will collaborate with Princeton and NOAA/GFDL researchers to expand the reach of GFDL's model data (both historical and future
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project, SmartWheat: Harnessing AI Models for Climate-Resilient Wheat Varieties in Sustainable Agriculture, at NMBU. The successful candidate will develop AI-driven models for the analysis of UAV-based
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characterize their properties and performance using instrumental and sensory analyses. To provide robust scientific insights, this position will also carry out modeling and validation of processes of utility
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-CO2)”. Your job Marine carbon dioxide removal (mCDR) is becoming an internationally recognised strategy as a way to mitigate climate change by increasing the ocean’s capacity to store anthropogenic CO2
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not limited to) identifying effective tutoring practices, running experiments on AI tutors in simulated and real-world environments, fine-tuning AI models to classify qualitative data, and building