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Field
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confident predictions of both extreme weather and future climate change we need to address a critical foundational knowledge gap. While polar atmospheric dynamics is generally considered to be similar
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change (sea level rise and increased storminess in Northern Europe), coastal erosion is expected to potentially worsen. State-of-the-art practical engineering models for predicting sand and particle
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of the variability and uncertainty of simulated outputs • an explicit quantification of prediction error • an interpretable and controllable structure (e.g., Gaussian processes, …) 2. Model industrial system
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multimodal datasets. The goal is to generate predictive models that provide valuable causal and probabilistic insights into clinical and population health outcomes. In addition to technical research
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Responsibilities: Digital Tool Development:Develop digital tools to monitor and analyze the determinants of urban health using sensor data, public databases, and GIS. Predictive Modeling:Design predictive models
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of pathogen populations to antibiotic treatment across various time scales - compare the predictions of these models to epidemiological data available from public databases in various countries, particularly
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a unique range. Institute of Coastal Systems Analysis and Modeling The Institute for Coastal Systems Analysis and Modeling studies the dynamics of coastal systems as part of the Earth system and
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description] Topic 1: Multi-model ensemble prediction of weather, sub-seasonal to seasonal climate variability (one position). Constructing a seamless atmospheric forecasting system with a large number of
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on ecosystem productivity. The primary objectives for this postdoctoral position are to 1) Develop models to predict plant functional traits from hyperspectral imagery in forest sites from the National
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to predict memory accesses and anticipate page faults. At present, it is almost impossible to execute AI models in kernel space, since floating-point operations—required by AI workloads—are not supported