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vulnerability Single-cell and spatial transcriptomic analysis of treated organoids and tumour Computational modelling of cell state rewiring network Functional validation of identified targets in various tumour
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Position Details Position Information Internal Posting? Posting Number SP005180P Position Title Research Associate I - Spatial Data Division/College College of Natural Resources Department Forest
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frameworks for spatial multi-omics integration. Generate figures, tables, QC reports, and analysis summaries for manuscripts, grants, and presentations. Collaborate closely with wet-lab and imaging teams
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on a unique cohort of 1,750 human liver samples and 400 blood samples and integrates high-resolution genomic approaches (ultra-deep WES, ddPCR, single-cell RNA-seq, spatial transcriptomics). Main
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of data on facilities and services, and land planning projects. The main functions to be developed are: Collaboration in the socio-territorial analysis of omics or genomic data of the PRECISION-ILD project
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initiative of the Exploratory Modeling of human-natural systems (EM) research group of the Advancing Systems Analysis (ASA) program and the Integrated Assessment and Climate Change (IACC) research group
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Description The Centre d’Études Spatiales de la BIOsphère (CESBIO) is a public research laboratory dedicated to advancing our understanding of continental surface processes and their interactions with climate
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updates related to room attributes, classifications, and departmental assignments. Support space utilization analysis and reporting by ensuring reliable and accurate spatial data inputs. Spatial Analysis
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l'échelle macroscopique dépend des interactions moléculaires à l'échelle nanométrique et de leur évolution. Cependant, les études de caractérisation sont souvent limitées par la résolution spatiale et la
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, and contribute to a federally funded R01 initiative focused on the integration of spatial omics, transcriptomics, and histology data. The role emphasizes computational analysis of single-cell RNA