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, optimize, and expand workflows for spatial omics technologies, from sample preparation through analysis to data generation and interpretation. Integrate spatial methods with other modalities, such as
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, etc.). We use a variety of techniques such as confocal microscopy, single cell RNAseq, spatial transcriptomics, mouse genetics, and behavior to address how microglia modify synapses and, in turn, how
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. Interest in Natural Hazards and Risk, spatial analysis and landslide modeling Interest in the systematic investigation of real and potential consequences of landslides on societal systems in the sense
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from tissues for downstream analysis. Perform flow cytometry, histological analyses, and imaging-based ferroptosis assays. Analyze single-cell and spatial transcriptomic data in collaboration with
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imaging and microscopy methods, and perform computational data analysis. Previous experience in translational cancer biology or immunology, spatial biology, and microscopy are preferred but not required
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Position Announcement Chair, Department of Geography & Spatial Sciences, College of Earth, Ocean and Environment, University of Delaware The Department of Geography & Spatial Sciences (GEOG) is
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://pritykinlab.princeton.edu) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi-modal single-cell, spatial and genome editing
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Hazards and Risk, spatial analysis and landslide modeling Interest in the systematic investigation of real and potential consequences of landslides on societal systems in the sense of consequence analyses
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statistical and epidemiological methods Working experience with data analysis software, such as Stata, SPSS, R, or Mplus Experience in spatial and temporal data analysis using GIS, including RStudio/Python
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; Tasks may include data collection and cleaning, econometric and structural analysis, conducting literature reviews, and/or documenting data work with reproducible replication packages. Your profile Master