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Previous Job Job Title R6 - Spatialomics Scientific Lead / Spatial Project Coordinator - MIBAM Next Job Apply for Job Job ID 372780 Location Twin Cities Job Family Research Full/Part Time Full-Time
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based on an individual-centered spatial analysis approach (geomatics) using AgentBased Modeling to model mobility and its evolution. The postdoctoral researcher will intervene in the second phase
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Design, develop, and implement advanced algorithms, models, and software tools for spatial data analysis, machine learning, and AI-driven geospatial applications Lead and collaborate on interdisciplinary
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Senckenberg Gesellschaft fuer Naturforschung | Wilhelmshaven, Niedersachsen | Germany | 24 minutes ago
communities • Multivariate statistical analysis of community and environmental datasets • Spatial analysis and georeferencing of ecological data using GIS • Development and implementation of species
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About the Opportunity Job Summary Conduct spatial analysis and statistical modeling to evaluate cannabis cultivation density patterns across tribal, private, and boundary lands. Develop refined
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Multivariate statistical analysis of community and environmental datasets Spatial analysis and georeferencing of ecological data using GIS Development and implementation of species distribution models
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several types of spatial growth patterns which correlate with therapy efficiencies and overall survival (Vermeulen et al. J Pathol. 2001 , Nielsen et al. Mod Pathol. 2014 , Baldin et al. J Pathol Clinical
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analyses of the relevant scientific literature; ii) spatial mapping and entomological monitoring in urban and rural settings; iii) installation, management, and maintenance of traps for vector Culicidae; iv
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Position Details Position Information Internal Posting? Posting Number SP005180P Position Title Research Associate I - Spatial Data Division/College College of Natural Resources Department Forest
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Systems (GIS) and large-scale spatial and environmental pattern analysis. They will also be responsible for participating in soil sampling teams and in the design of large-scale monitoring networks. With