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environment collecting or analyzing data. Experience using GIS software to manipulate data and generate spatial data products (e.g., maps, web/story maps, etc.). Experience working with groups of stakeholders
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, College of Department: Data Science Rank: Associate Professor Annual Basis: 9 Month Application Deadline October 31, 2025 Required Application Materials Candidates are asked to apply online at https
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start date of November 2025 or earlier. This position is ideal for a student interested in gaining hands-on experience with environmental data analysis, GIS, and research communication. The role focuses
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sequencing and spatial transcriptomics data. Learn and master skills for integrative analysis of high-dimensional bulk and single-cell multi-omics data. Gain rich knowledge in cancer biology, cancer genomics
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organoid co-culture systems and in vivo models in combination with cell state and mutation reporters and single-cell technologies with spatial readouts to study the impact of intestinal microbes and their
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organoid co-culture systems and in vivo models in combination with cell state and mutation reporters and single-cell technologies with spatial readouts to study the impact of intestinal microbes and their
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in microfluidics, sample preparation, molecular barcoding, and advanced techniques for single-cell and spatial multi-omics analysis Biomaterials and Regenerative Medicine –stem cell, cell and tissue
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/ climate, risk engineering, data & AI (modelling, simulation, decision support), GIS and spatial analysis, analytical chemistry or toxicology, risk economics / management, law & governance, regulation
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function with high spatial and temporal fidelity. Moreover, we need to track trends across the vast and diverse forest landscape of California. The Forest Inventory and Analysis (FIA) program delivers
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integrating visual data with spatial sensors like RGBD and LiDAR. This Research Engineer (Research Technician 2) role offers the opportunity to work across the full stack of data collection, model training