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approaches to establish a predictive understanding of regional climate variability and change and use that information in developing decision-support systems and climate toolkits for human systems such as the
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that characterize the potential changes and impacts on future populations from climate change, conflict, and policy scenarios. Our goal, as with today’s climate models, is to articulate a range of possible human
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computing and national security. Climate change, decarbonization, and sustainability are cross-cutting themes across the laboratory. ORNL’s National Transportation Research Center (NTRC) is accelerating
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spatio-temporal data. Preferred Qualifications: Experience developing processes for transportation route and mode identification and facility siting, considering natural disaster resiliency, climate change
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& Analysis (MEERA) Group at ORNL. You'll collaborate with ORNL's Program Manager over our Better Plants and Better Climate Challenge teams to ensure program initiatives are carried out and communicated
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, this position is considered remote-eligible for ORNL in pre-approved locations. Remote-eligibility is not a continued guarantee and could be subject to change based on evolving organizational needs. Note about
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diverse traffic, geographies, and climates to assess impact of emerging mobility technologies on the transportation system Development and implementation of advanced software-in-the-loop (SIL) and hardware
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generative deep learning models conditioned on heterogenous geospatial data modalities including historical land-cover data, population density maps, terrain maps, as well as local climate zones and critical
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passionate about understanding the ecology of soil and plant associated microbial communities as well as their responses to various anthropogenically induced change (climate, contaminants, land use, etc
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offshore wind energy system, including how climate change will impact offshore wind resources, the physics of floating wind farm and turbine wake dynamics, and the loads and dynamics of floating wind