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Field
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immune cells from gestational and reproductive tissues, as well as peripheral blood, in both humans and mice. Conduct in vivo experiments in mouse models of pregnancy and inflammation. Process tissue
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modeling, learning on graphs, generative AI for cybersecurity, and experience with AI-driven anomaly detection via temporal and spatial analysis. Foundational understanding of cyber-physical systems dynamics
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biologically-constrained machine learning–based model discovery pipelines to derive interpretable surrogate ODE/PDE models from simulated ABM data and spatial-omics data collected from state-of-the-art
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resistance. This work will integrate spatial transcriptomics, advanced co-culture organoid assays, and in vivo models to decode the mechanisms underlying CAF-driven CRC evolution. Access to single cell RNA
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mouse models. Utilize advanced technologies such as CRISPR/Cas9 gene editing, single-cell RNA- and ATAC- sequencing, single-cell spatial transcriptomics, and multiplex fluorescence imaging. Collaborate
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Role Description Department We are seeking an experienced mathematical modeller. Our group is developing a range of advanced genetics-based methods for controlling mosquito-borne diseases, based
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dedicated to development, translation and clinical application within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical
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of epigenetic regulators in regulating therapy resistance. Utilize molecular, cellular, and biochemical techniques including CRISPR, scRNA-seq and spatial transcriptomics, flow cytometry, and 3D tumor modeling
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 25 days ago
of integration of spatial transcriptomics. At the bench, the postdoc will perform spectral flow cytometry and other immune-based assays on murine and fresh tissue from patients with cancer. The successful
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cellular dynamics. Analyze large-scale transcriptomic and spatial dynamics datasets. Work in close collaboration with the team's biologists to test predictions from statistical models. Within the Polarity