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. Demonstrated experience in analysing mobility, exposure, environmental or other spatially and temporally referenced data. Strong quantitative and statistical analytical skills. A strong publication record
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to Search Assistant Professor of Quantitative, Population, and Community Ecology (T/TE) Posting Number req27180 Department Ecology & Evolutionary Biology Department Website Link https://eeb.arizona.edu
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The Statistics (STAT) program in the Computer, Electrical, and Mathematical Sciences and Engineering Division (https://cemse.kaust.edu.sa ) at King Abdullah University of Science and Technology
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
from multiple sources; apply quantitative, statistical, and, where relevant, geospatial methods; and contribute to data products, visualizations, and research outputs. Working with an interdisciplinary
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growth, spatial data and GIS, and statistical analysis in R. About the position The doctoral student will plan and carry out field experiments and inventories, manage and analyse spatial and experimental
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
cancer. The Core Facility Bioinformatics and Statistics (CF-BIOS) at Helmholtz Munich is part of the SPACETIME project, an EU consortium studying how spatial cellular organization changes with disease
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application of computational, statistical, and spatial methods to urban systems and planning challenges. Candidates should demonstrate the ability to bridge technical methods and planning practice, with a focus
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quantify intraspecific and interspecific interactions, taking into account environmental, spatial and temporal variation. TASKS: The work is based on data analysis and modelling approaches. An initial phase
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formats – see the course webpage to find out about the format. Information on this PCE Specialization may be found at https://www.pce.uw.edu/specializations/gis-spatial-analysis-with-python-r. UWC2
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, or reproducible research workflows. Knowledge of one or more of the following: GIS, remote sensing, computer vision, image processing, machine learning, spatial statistics, or map-based data fusion. Experience