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forests and agroecosystems, in particular on their response to management and climate. Project background This position is embedded in a project on the Impacts of Air Pollution and Climate Extremes
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- Interfacing machine learning with climate models Company: Princeton University Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid
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Your position Two main tasks are associated with the position. One is to overlook and maintain key scientific infrastructure, in particular the system of automated climate, soil and tree
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for climate-smart forestry. The project includes a collaboration with Dr. Laura Leites and Dr. Kim Steiner leveraging mature black walnut provenance trials and associated genomic and phenotypic data
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the dynamics at work concerning the processes of climate tipping points identified in the North Atlantic in particular: (ii) assess our ability to provide effective warning signals concerning the approach of a
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therefore quantify the effects of climate change on Earth on the motions of another celestial body (the Moon). This postdoctoral position offers the opportunity to collaborate with project scientists
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millennium, recent historical era and the coming centuries, using a combination of high-resolution climate modeling, machine learning/artificial intelligence (ML/AI) techniques, theory and observational
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The position is associated with the CLIMate SEnsitive DISease Forecasting Tool (CLIMSEDIS) project, awarded by the Wellcome Trust. CLIMSEDIS will develop and build capacity in the use
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-time opportunity for a Post-Doctoral Associate to work in the Climate Accountability Lab headed by Prof. Geoffrey Supran. The Post-Doctoral Associate will apply quantitative and qualitative applied
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to apply for a faculty or staff position using the Career worklet, please review this tip sheet . Position description: The Climate Accountability Lab headed by Prof. Geoffrey Supran at the University