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-seq, RNA-seq, ATAC-seq and spatial transcriptome data. We are also interested in developing modern statistical approach for integration of multi-omics datasets and causal inference to understanding
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Multivariate statistical analysis of community and environmental datasets Spatial analysis and georeferencing of ecological data using GIS Development and implementation of species distribution models
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important jeu de données préliminaires (scRNA-seq de >120 000 cellules, transcriptomique spatiale, cytométrie spectrale), le projet s'articule autour de trois objectifs principaux : 1-Caractériser la
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, climate, soil properties) and biodiversity data from the citizen science program OAB (Observatoire Agricole de la biodiversité, https://www.observatoire-agricole-biodiversite.fr/ ), the PhD thesis will
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description -The PhD will be conducted
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Website: https://www.systemshematology.org (link is external) How to Submit Application Materials: Please email Asiri (asiri at stanford.edu) Does this position pay above the required minimum
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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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deglaciation. Duties include but are not limited to: The analysis will include statistical modeling (e.g., STEHME) to bridge spatial and temporal data gaps and interpolate beyond field-accessible regions. Using
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are also required: at least one course in Programming at least one 2nd cycle course in one of: Stochastic processes, Machine learning, Time-series analysis, Spatial statistics, Spectral analysis
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on the development of a virtual tissue model bridging cell-cell communication and gene-gene interactions by exploiting spatial transcriptomics data and network-theoretic approaches. Contract start date : May 1st 2026