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continuous, high-frequency water vapor isotope measurements (δ²H, δ¹⁸O) in combination with eddy-covariance ET fluxes, we will develop more robust, less assumption-dependent methods to partition ET
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and taking initiative in joint projects Support empirical research using methods such as surveys, qualitative interviews, focus groups, or computational social science approaches Drive innovative
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and help introduce new automation technologies and methods within the core facility Profile PhD in life sciences, biotechnology, bioengineering, or a related field Strong background in biological
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changes In contrast, the use of SAR for identifying and characterizing crevasses has seen limited research, necessitating the development of new methods The approach will involve utilizing high-resolution
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applications in forest monitoring. Job description You will support the TreeAI global initiative by developing data driven methods to enhance large scale tree monitoring. The role focuses on managing and