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Cartographic Heritage to model the impact of land changes on the hydrological and river systems in Europe The main goal of this proposal is to develop strong research and analysis skills of a PhD student
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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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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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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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, 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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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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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