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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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particular, it should relate to one or more of the following areas: theory for spatial discretisations of PDEs, analysis and design of domain decomposition methods, numerical analysis for stochastic PDEs
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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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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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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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Foundation (FAPESP), and combines statistical analysis, spatial methods, and qualitative research. Georeferenced data from the Military Police and the Municipal Secretariat of Urban Security will be used
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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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activities through field surveys and data analysis; 4. collection, processing and analysis of samples for environmental DNA (eDNA) aimed at species detection and spatial distribution assessment; 5. performance