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morphology, cell viability, epithelial organization, barrier-related readouts, and model reproducibility across experimental batches. 30% — Tissue processing, histology, imaging, and spatial-omics preparation
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newly born neurons, combining developmental neuroscience with structural biology imaging. This research will uncover fundamental mechanisms of brain development and provide insight into processes
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males and females respond differently to bacterial infection. The successful candidate will play a leading role in the imaging and data analysis components of the project. They will develop and apply high
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will possess expertise in overseeing students' projects related to digital filmmaking, from initial concepts, screenwriting, production and post-production to final image color grading. Candidates will
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research and teaching team in the field of image information engineering. The team’s work combines vision systems and computer vision, AI-based image data analysis, VR/XR technologies, and the integration
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processed images and sequence of exposure and label appropriately. Review patient records for appropriateness of order. Prepare preliminary reports in collaboration with providers. Charge MR procedures and
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biologists develop new contrast agents and radiopharmaceuticals for molecular imaging; the physicists and engineers develop imaging hardware and instrumentation; and the computer scientists and mathematicians
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analysis, preferably Visium or Xenium R/Bioconductor and Python for bulk, single-cell and spatial transcriptomics, including Seurat, scanpy, anndata, squidpy and proseg Image analysis using ImageJ, QuPath
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transcriptomics and cellular imaging. Under the supervision of the faculty member, the Research Technician I will prepare research data, implement and evaluate statistical methods, conduct simulation studies
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the proper documentation of patient information related to the imaging procedure. Ensuring that the MRI rooms are kept clean, tidy, and safe at all times. Be able to work in the evenings and Saturdays