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tissue to address these questions. Required Qualifications: • Experience in molecular and cell biology techniques, preferably in single cell sorting (FACS) and analysis, immunofluorescence and confocal
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and materials systems that are difficult to study using conventional structural approaches. These systems range from intact bacterial cells, cell walls, biofilm extracellular matrices, and amyloid
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. Multiple projects are available in the area of liquid biopsy, including work on circulating tumor DNA (ctDNA) and cell-free RNA (cfRNA). Projects can be bench-focused, computational, or a combination of both
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of scientific principles. Strong molecular and cell biology techniques, as well as experience working with mouse and human models. Strong general computer skills, experience with databases and scientific
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Huang, Ph.D., Associate Professor in the Department of Cardiothoracic Surgery at Stanford University School of Medicine. We are interested in studying the role of cell-biomaterial interactions that 1
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disciplines. What we do The Sun Lab brings together single-cell and spatial genomics, circuit neuroscience, metabolic biology, and computational approaches to understand how neural systems sense, remodel, and
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precursors of breast neoplasia progress to invasive breast cancer. They will be part of an interdisciplinary team of pathologists, immunologists, and computer scientists. The project builds on our previous
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intersection of stromal cell biology, tissue regeneration, and autoimmune disease, with unique translational research opportunities. The successful candidate will have the opportunity to develop an independent
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to extend recent findings on rejuvenating aged immune systems through stem cell modulation (Ross et al., Nature 2024 (link is external) ). The successful candidate will work on projects investigating
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biology, bioinformatics, genetics, AI, machine learning, computer science, or a related field. Demonstrated experience analyzing single-cell and/or spatial genomics datasets is a plus but not necessary