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Field
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-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. All UM6P programs run as start-ups
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collaboration that aims to refine our understanding of the controls on ocean carbon cycling and ecosystem resilience with integrated observations and modeling. The lab houses a state of the art mass spectrometry
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the natural sciences. The position offers access to top-tier academic and industry research ecosystems and is ideally suited for researchers seeking to push the boundaries of geometric and graph-based learning
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The Scientific Challenge: Microbial ecosystems are complex adaptive systems whose emergent behavior remains poorly understood from first principles. In particular, it is not clear how functional diversity (i.e
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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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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
Ocean: Ecosystems, sustainability and competing interests at the edge of the world" covering natural and social science perspectives, that will cohere around the ‘dilemma’ facing the Southern Ocean: how
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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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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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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 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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. Familiarity in ecosystem process parameterization in ocean biogeochemical models. Worked with Coupled Model Intercomparison Project (CMIP) models. Knowledge of paleoceanography and paleo ocean biogeochemistry