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analyst to support a research program focused on constructing a retrospective analysis of our a Wildfire Resilience Index (WRI) for the US and Canadian West (https://www.wildfireindex.org/ ). Built
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analytical skills and a solid foundation in data synthesis, remote sensing, spatial analysis and Bayesian statistics o Strong proficiencies in R and/or Python o Experience with version control in GitHub
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shapes and is shaped by spatial, cultural, and political dynamics. Candidates must add depth to our in person and online offerings. In the near future, we will launch a combined Geography/Global Studies BA
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. Proficiency in statistics and spatial analyses and map-making using R and/or ArcGIS Experience in analysis of forestry and environmental data Strong communication, writing, and organizational abilities Desired
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biology, experimental pathology including creation and phenotyping of genetically engineered mice, histology, immunohistochemistry and spatial -omics, tissue processing and biospecimen science, database
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. This research project has a dual focus. On the one hand, you will be involved in analysis of spatial, single-cell and multi-omics data to efficiently characterize the different molecular layers. This will be done
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qualifications/requirements: Experience on the analysis of time series, and/or spatial, and/or space-time data Ability to start in the next 2 months Evaluation criteria Maximum score 1. Degree in Mathematics
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unites computational and quantitative criminology with data science and spatial analysis. We conduct fundamental and applied research to generate robust, actionable insights on crime and societal responses
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one or more of the following courses: programming, cartography & geographic information systems (GIS), statistics (with lab), and spatial data analysis. We also welcome applicants whose teaching spans
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comprehensive training aimed at building essential scientific and transferable skills. Job Duties: Implementation and bioinformatic evaluation of transcript- and protein-based spatial single-cell multi-omics