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prinicpal investigators within the Genetic Center to design and implement analysis pipelines in several broad areas of computational biology including analysis of experimentally generated datasets in basic
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: Quantitative analysis of experimental data and description of spatial structures in crowds (e.g., Minkowski functionals, Voronoi analyses, clustering methods) Comparison of physical structural analyses with
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proteomics. Experience with spatial data analysis including multiplex IHC and CODEX. Familiarity executing bioinformatics pipelines in local UNIX/Linux environments and cluster execution (LSF). Proficiency in
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analyst to support a research program focused on constructing a retrospective analysis of our a Wildfire Resilience Index (WRI) for the US and Canadian West (https://www.wildfireindex.org/ ). Built
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
immunohistochemistry and in situ hybridization studies. They will also be involved in working on digital spatial profiling of human issues and applying analytical frameworks, The final salary and offer components
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stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Nelson research group (https://research.fredhutch.org/peternelson/en.html at the Fred Hutch
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analysis pipelines and to integrate imaging data into computational models. It is an opportunity to work with research groups across the Cell-Matrix Centre and the Bioimaging Facility. The appointee will be
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offshore wind farms or tidal stream arrays. Such wakes are important to understand and predict because of their potential to impact the energy supply from such renewable energy projects. Analysis will be
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, selection, and clonal dynamics, using high-throughput sequencing and systems-level analysis. Work on the engineering and functional assessment of synthetic or ex vivo thymic environments to control immune
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Quantification and spatial analysis of immune biomarkers (e.g. TILs, immune subpopulations) Development of AI pipelines for automated analysis of whole-slide images Predictive modelling of relapse and metastasis