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expertise in climate science, hydrology, earth and planetary science, and physically-based or machine-learning/AI-based climate modeling (e.g. hydrometeorological and/or atmospheric processes
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
. Conghe Song. One post-doc will focuse on remote sensing of vegetation, and the other will focus on ecosystem modeling. The remote sensing post-doc will be working on characterize forest canopy structure
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, ocean, marine ecosystem, and impact models of different complexity and will include both traditional and new ocean modelling approaches with the final objective of delivering: (i) coordinated and
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. Your overall focus will be to help develop a semantically integrated data ecosystem that links experimental data across our pilot plant and coatings science center using ontologies and knowledge graphs
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polarization and mental health are deeply intertwined challenges of our time, with rising ideological divides and fragmented information ecosystems coinciding with increasing stress, anxiety, and declining well
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both institutions and industry partners. About the Project You will join FabricFlow – an innovative AI-powered ecosystem that revolutionises how fabrics are tracked and managed in the fashion industry
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Position Highlights We seek an early career scientist with background in ecohydrology, numerical modeling and/or remote sensing to fill a position as Postdoctoral Research Associate at the Department
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USA Position Highlights We seek an early career scientist with background in ecohydrology, numerical modeling and/or remote sensing to fill a position as Postdoctoral Research Associate
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. Familiarity in ecosystem process parameterization in ocean biogeochemical models. Worked with Coupled Model Intercomparison Project (CMIP) models. Knowledge of paleoceanography and paleo ocean biogeochemistry
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an industry partnered project for translational drug discovery. The role will involve analysing large scale omics and spatial datasets from both primary patient samples and advanced in vitro model systems