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) Scale up forest dynamics predictions from stand to landscape level. As the PhorEau model cannot be run in a fully spatially explicit manner at large spatial scales, the PhD candidate will interpolate
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to wake development. Boundary conditions to the CFD model will be further developed to analyse the impact of meso-scale variation of the flow occurring over much larger spatial scales than the turbine array
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working with large datasets, modelling, and developing innovative ideas? Are you a creative researcher looking to build your profile for future career opportunities? If so, the Landscape Dynamics group is
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 months 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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developing approaches to leverage spatial data to better understand evolutionary histories. More information about the lab and their work can be found by visiting https://federlab.github.io/ About the
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technologies to assess the multicellular environment within three-dimensional microtumor models. The project focuses particularly on understanding how the tumor microenvironment (TME) undergoes architectural
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share with the research community. To achieve those goals, we are currently using mammalian cell lines (including stable cell lines) and induced pluripotent stem cells (iPSc) as model systems, as
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regional and political geographies in a globalized world at various spatial scales, from local to global. It addresses topics such as (multi-scalar) governance, state geography, nationalism, identities
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for a motivated researcher who wants to solve actual spatial, environmental, and socio-economic problems using modern data, analytical tools, and computing methods. We expect an active approach, a
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in applied economic analysis (e.g., causal inference, econometrics, spatial equilibrium modeling). • Experience working with large-scale datasets and interdisciplinary research. • Demonstrated research