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for acquiring, managing, analyzing, modelling, and visualizing geographic information to understand spatial patterns, processes, and relationships. Lund University GIS Centre at the Department of Earth and
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and spatial modelling to assess willow expansion in different parts of Norway from recent decades to the present. The project will subsequently investigate the environmental and land-use factors
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About the lab The Laboratory of Causal Systems Immunology combines large-scale in vivo perturbation experiments, advanced mouse models of immune diseases and causal learning to uncover how genes
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at the interface of biophysical modeling, soft matter and cell mechanobiology at the Groningen Research Institute of Pharmacy, within the Faculty of Science and Engineering at the University of Groningen. What
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with the aims of the funded project. Job Duties Use R and Geographic Information System (GIS) software to generate geospatial predictor datasets for air pollution models. Use high-performance computing
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University of Texas at Arlington, Department of Biology | Arlington, Texas | United States | about 8 hours ago
community. Areas of particular interest include, but are not limited to, spatially-resolved functional genomics, cell signaling, genetics and epigenetics studies and other integrative approaches
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responsibility. 3) Scientific analysis and interpretation: - Develop advanced analysis methods to quantify bedload transport: full responsibility. - Interpret results and propose explanatory models: primary
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to ecological or biological questions. Demonstrated experience developing and applying species distribution models, ecological niche models, or related spatial/statistical models. Experience working with large
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 9 hours ago
variability and natural disturbances. The research will integrate NASA Earth observations, spaceborne LiDAR measurements, hydroclimatic information, and Earth-observation foundation models to move beyond static
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will focus on the development of AI-enabled programmable coherent fibre-laser arrays. You will investigate how the spatial properties of coherent optical fields can be measured, predicted and controlled