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advanced spatial biology techniques, such as spatial transcriptomics, proteomics, and multiplexed imaging, to analyze brain tissue. Lead data analysis and interpretation, integrating multi-omic and imaging
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Systems (GIS) and large-scale spatial and environmental pattern analysis. They will also be responsible for participating in soil sampling teams and in the design of large-scale monitoring networks. With
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analysis results, including regression results, and spatial analysis, including visualizations and maps; ● Run power calculations for randomized controlled trials; ● Assist in reviewing, synthesizing, and
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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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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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“Bayesian Enhanced Tensor Factorization Embedding Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and interpretable framework for tensor analysis. Specifically
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. Defrasne, have highlighted: (i) the value of interdisciplinary and multiscale analysis of rock surfaces, enabling the mapping of various natural and anthropogenic processes; (ii) the contribution
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and established on-farm trials in Africa. Conduct spatial analysis to predict yield at scales. Contribute to the overarching goals of the research project team. Supervise master and doctoral student
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Details Title POST-DOCTORAL FELLOW IN CANCER RESEARCH – SPATIAL BIOLOGY AND PRECISION ONCOLOGY School Harvard Medical School Department/Area Harvard Program in Therapeutic Science Position
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persistence in chronic infections (Salmonella, Pseudomonas, and Achromobacter) by integrating spatial modelling, single-cell transcriptomics, advanced imaging data, and machine learning approaches. The goal is