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networks driving aging and inflammation using cutting-edge molecular and genomic technologies. The project integrates single-cell and spatial transcriptomics, epigenome and whole-genome sequencing, and
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of cellular aging, resilience, and fibrosis. Responsibilities Develop and implement analytical pipelines for large-scale single-cell, spatial, and multi-omics data integration Build and apply machine learning
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expertise, including facilities for high-throughput screening and high content imaging, multimodality in vivo imaging, proteomics, spatial and single-cell transcriptomics. As part of King’s Health Partners
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. This simulation environment will exploit the unique features of currently available AI models and include two layers: the spatial mapping one (placing the chargers where the people need them to be), and the power
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molecules within the cell. Determining the spatial distribution of small molecules within cells is crucial for understanding fundamental biological mechanisms, but it is currently not possible to do
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on the impactful Net-Zero America (NZA) study (https://netzeroamerica.princeton.edu/the-report ) that developed uniquely-granular spatial, temporal, sectoral, technological, and socio-economic analyses to vividly
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transplant rejection through cutting-edge spatial multi-omics and computational metabolic modeling. The role involves developing and implementing computational methods to integrate single-cell and spatial
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Skip to main content Recruit Home Open Recruitments Postdoctoral Scholar with the Center for Spatial Studies and Data Science in the Geography Department (JPF02931) Postdoctoral Scholar with
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contribute to projects using cutting-edge molecular, cellular, and spatial profiling approaches to dissect vascular and immune signaling across injury models. Key technologies and methodologies include
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mentoring of members of our research network, as well as outreach activities, all generally related to your research topic though not exclusively. You are encouraged to visit the ESA website: https