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of biotic heterogeneity in urban environments and the spatial/temporal dynamics of these drivers. This will involve working with pre-existing data collected by the lab, as well as collaborator data and
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applications from prospective postdoctoral scholars. Potential projects involve investigating the neural mechanisms underlying age-related changes in spatial navigation and memory. Methods to be used include
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. Successful applicants will work together as part of an international team of experts at four sites to apply cutting-edge approaches in high-resolution, single-molecule imaging; single-cell Ribo-seq and spatial
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model over the Contiguous United States, and evaluate model deficiencies and model improvements to improve the modeling of spatial heterogeneity of LST in land surface models. In Addition, Will Also
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, including 3D modelling, physics integration, and cross-platform deployment (PC, mobile, AR); integrating and deploying AR navigation applications on Microsoft HoloLens, covering spatial mapping, SLAM
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and co-design adaptive strategies with stakeholders and communities across Texas. The solutions we develop will have applications extending far beyond our region, serving as a model for communities
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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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and adaptive dynamics of tumour microbiome in colorectal cancer. To do so, we will integrate single-cell genomics, transcriptomics and clinical data using unique novel mouse models, spatial technologies
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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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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