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Field
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surface temperature) with eddy flux measurements to scale up findings and develop predictive models of water use efficiency, and c) quantify water use efficiency and its temporal and spatial variability
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. Preferred qualifications ● Fluency in fisheries and/or bioeconomic modeling, with experience in spatial fisheries ecology or management strongly preferred; ● Advanced understanding of the biology and
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different types of epidemic models, including spatial and individual-based models. Methodologically, the work will focus on multi-objective, hierarchical, and explainable reinforcement learning, as
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 21 days ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The Goddard Earth Observing System (GEOS), developed by NASA’s Global Modeling and Assimilation Office
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microbial communities play a fundamental role in carbon and nutrient cycling, yet their spatial organization and interactions have remained difficult to study because of the opacity and complexity of soil
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will focus specifically on investigating hillslope-riparian zone-stream connectivity at the reach-to-catchment scale for a better understanding and spatially distributed prediction of subsurface
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Postdoctoral Researcher (f_m_x) - Hydrology (advanced data analyses and innovative experimental w...
connectivity at the reach-to-catchment scale for a better understanding and spatially distributed prediction of subsurface stormflow (SSF). A novel experimental design is used to identify hillslope SSF and to
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dynamics during regeneration, aging, and cancer, and how these processes can be modulated. Our research is primarily conducted in vivo. We combine genetic mouse models (lineage tracing, conditional
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case studies); quantitative/spatial skills are an advantage Ability to work independently and collaboratively in an international, interdisciplinary team Language requirements: EN: Excellent skills in
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difference operators, our focus will be on a Fourier-space description of spatially periodic velocity fields, taking direct inspiration from Fourier pseudo-spectral methods used in standard DNS codes