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groundwater CH4 production and supply across land-water boundaries are poorly understood, as is the sensitivity of this supply to ongoing climate change. This project will explore the biogeochemical and
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and CH4) from headwaters, and use of machine learning and process-based model for large scale assessments and projections of the land-water carbon cycle to variation in climate conditions. The detailed
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quantum physics/chemistry, inorganic and materials chemistry, solid state chemistry or physics. · Good laboratory skills and interest in experimental research. · Programming skills for modeling and data
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