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research team. Our work focuses on craniofacial regeneration and distraction osteogenesis, using cutting-edge multi-omic approaches (single-cell and spatial transcriptomics, genetic and biochemical analysis
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research. Work will include analysis of spatial and related data (vector, raster, imagery) sufficient to support multi-scale and/or multi-resource planning, assessments, and monitoring. Knowledge of data and
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the start of the appointment and no more than four total years of postdoctoral experience. Proficiency in spatial analysis, with working knowledge of GIS concepts and tools (e.g., spatial data structures
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, such as spatial transcriptomics, proteomics, and multiplexed imaging, to analyze brain tissue. Lead data analysis and interpretation, integrating multi-omic and imaging datasets to identify cellular and
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), ERJ (2022), ATVB (2022), and Hypertension (2023), Circulation (2024). We leverage cutting-edge technologies like genetic lineage tracing, CRISPR genomic editing, single-cell omics, and spatial
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simulation and spatial analysis. · Experience writing and publishing manuscript(s) that report original research. · Experience preparing research proposals. · Excellent written and oral
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of metabolic states in retinal ganglion cells; spatial transcriptomic and correlated metabolic analysis of retinal ganglion cells; treatment of retinal ganglion cells in models of degeneration; data collection
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Analysis and Research Group (EPAR) Position Details Position Description The Daniel J. Evans School of Public Policy & Governance is a nationally top ranked public policy school, serving nearly 500 students
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management systems, i.e., MySQL or Microsoft SQL Server. · Proficient in traffic simulation and spatial analysis. · Experience writing and publishing manuscript(s) that report original research