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-cell multiomics and spatial transcriptomics data from patient samples and patient-derived organoids (Ogden et al., Cell Genomics 2025, Efremova et al. Nature; Efremova et al., Cell Reports) and develop
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of the Mississippi embayment), surface water hydrology and modeling, model coupling, and spatial/temporal data analysis. The successful candidate will work with Dr. Brian Waldron and CAESER faculty/staff on projects
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
productivity and strategies for sustainable management of selected marine ecosystems. Your Profile A PhD in conservation biology, geoinformatics, spatial ecology, or a related field A strong background in
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hydrodynamic and hydrologic model using tools such as MIKE SHE/MIKE+, HEC-RAS, or MODFLOW. Integrate high-resolution spatial datasets (e.g., LiDAR-based DEMs) and observed hydrometeorological inputs. Conduct
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to recreate human intestinal inflammation, establishing a novel pharmacological platform for preclinical drug evaluation. Evaluate disease trajectory and predictive potential through comparative spatial
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explores novel myeloid cell-based immunotherapy against intraperitoneal metastasis of ovarian cancer using mouse models and patient samples as well as state-of-the-art technologies such as spatial multi
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perform the following duties: * Perform experiments relating to the role of metabolism, inflammation and epigenetic regulation in driving retinal degeneration. These include experiments such as spatial
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application of spatial microsimulation and agent-based models in relation to the Horizon Europe project MOBI-TWIN ( https://mobi-twin-project.eu ). ????-TWIN is a Horizon Europe project that investigates
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We invite applications from highly motivated and talented researchers for a 2-year postdoctoral position in advanced skin models, cellular immunology, and spatial transcriptomics, starting August 1
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cell or spatial multi-omics, cell free DNA methylation, longitudinal omics. You will benefit from access to unique datasets and expertise; top-ranked scientific environment; and superb compensation