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-throughput biological datasets Experience with analysis of proteomics or spatial transcriptomics experiments is a plus Sound statistical knowledge and fluent programming skills using R/Bioconductor and/or
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. Field campaigns, however, are limited in time and geographic coverage. Satellite observations are thus critical to extend measurements over larger spatial and temporal scales. Yet, satellite retrievals
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correctement les processus propres aux panaches. Leur résolution spatiale est généralement trop grossière pour résoudre les structures à l'échelle des panaches, ce qui entraîne une dilution et un mélange
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Your Job: Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets Integrate ontologies and metadata (e.g., tissue, cell
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innovative methods for the large-scale spatial and temporal analysis of interferometric SAR data, with particular focus on monitoring surface deformation and active geomorphological processes. The objective is
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partnerships in the CTI and beyond. You will also contribute to the education and mentorship of students and researchers at various levels. Where to apply Website https://www.academictransfer.com/en/jobs/358773
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tissue using genetic mouse models, functional screens, and single cell and spatial omics technologies. More details about the laboratory: https://www.ibt.cas.cz/en/research-laboratories/laboratory
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. Experience with data manipulation in SAS or SQL. Experience in spatial analysis and mapping using ArcGIS Pro. Experience developing and maintaining interactive visualizations using Tableau. Experience working
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a unique opportunity to join a world-class team dedicated to understanding and advancing the field of cancer immunology through innovative spatial analysis of the tumor microenvironment. Requirements
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of interactive web-based and/or immersive analytics environments that integrate temporal networks, heterogeneous spatial-temporal data, and AI-driven forecasting and simulation models. These environments will