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understanding and experience of cancer biology, cell and molecular biology, and biochemistry. Practical experience with bioinformatics and omics data (transcriptomics, proteomics, spatial data) and analysis (e.g
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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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group develops statistical and machine-learning tools for high-dimensional and spatial data, with a particular emphasis on applications in plant microbiology and microbial ecology. The group partners
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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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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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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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/ 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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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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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