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datasets (e.g., single-cell RNA sequencing, spatial transcriptomics) from human and mouse preclinical and clinical studies. Preprocesses, manages, and analyzes large, multi-dimensional clinical and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 days ago
-content spatial transcriptomics and proteomics technologies, aerobic/anaerobic cell culture technologies, single-cell RNAseq technologies, Qpath/Visiopharm/site-based image analyses, murine studies
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Science and Services (TESS) lab (https://tess-lab.org/ ) in the Department of Geography, Streatham Campus, Exeter. Funded by the Saudi NEOM project, eligible students would receive Home tuition fees, a
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for gene regulatory networks, single-cell multi-omics integration, spatial omics, and variant effect mapping in complex disease. Strong method/tool dev experience required (Python/R, ML/stats
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MINFLUX: data acquisition and new data/analysis tools Spatial Chemical Composition using label-free-IR imaging Converting cryo-electron tomograms into images for WCMs and Minecraft Studies on organelles in
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applications of advanced spatial data analysis methods, data collection, and interpretation of remote sensing data, database system theory, mapping, spatial data distribution, development of new cartographic
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realizations, academic publications, and a design vocabulary intended to inspire future makers and researchers in the field of hybrid spatial storytelling. Master’s degree in audiovisual or visual arts, design
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reconsolidation of memory are studied. Within this frame, the FAM has recently identified new spatial and non-spatial subnetworks segregated along the proximodistal axis of the hippocampus (Nakamura et al, J
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spatial transcriptomics, with the ultimate goal to understand and harness immune responses in human diseases. The Engblom and Villablanca labs form a tight-knit collaborative team of scientists with diverse
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; Nguyen et al., 2023). By integrating large scale, multi-modal data and leveraging self-supervised and transfer learning, these models demonstrate satisfactory spatial-temporal simulation and predictions