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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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heterogeneity and temporal variation and cannot be adequately described by models that assume a uniform structure. The project aims to develop flexible models that allow key characteristics of the process, such
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: https://www.umu.se/en/work-with-us/benefits/ . The candidate’s physical workplace will be in Umeå, starting date March 1, 2026 or by agreement. Application You apply via our e-recruitment system Varbi
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at advanced level should be within materials chemistry, chemistry, technical chemistry, or technical physics or closely related subjects. · Good English skills (written and spoken). Merits: · Familiarity with
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process outputs. The research will be conducted in close collaboration with our industry partner Netherlands Organization for Applied Scientific Research (TNO), and will include combustion experiments in