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Field
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University is seeking a postdoctoral scholar to lead the development of a new experimental platform for spatial multi-omic analysis of biological tissues. Our lab builds biological measurement
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tissue analysis, and translational cancer biology, with access to large, high-quality, in-house spatial datasets. The Lu Lab maintains active collaborations across Stanford Medicine, engineering
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. Culturing human embryos and generating stem cell-based embryo models. Tissue sectioning for advanced spatial transcriptomic analysis. Leading the analysis of single-cell and spatial
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disciplines. As an integral part of SGSUP, the candidates are encouraged to collaborate with faculty and staff within the Spatial Analysis Research Center (SPARC), Urban Climate Research Center, and
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, 2022, Qin et al, Cancer Research 2025). We do research at the forefront of spatial biology and offer training in human histology, statistics, omics data analysis, computer vision, grant writing, and
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. Developing the research program will include supporting the team with quantitative, inferential and spatial analysis, as well as integrating machine learning techniques, and leading and drafting manuscripts
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Geeleher Lab tightly integrates computational/AI-based analysis of high-throughput genomics datasets (e.g. single-cell / spatial genomics, functional screens) with wet-bench experimental work. We
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Alzheimer's disease. Apply and optimize advanced spatial biology techniques, such as spatial transcriptomics, proteomics, and multiplexed imaging, to analyze brain tissue. Lead data analysis and
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mass spectrometer. In parallel, you will lead the development and application of mass spectrometry-based spatial phosphoproteomics workflows for the analysis of formalin-fixed paraffin-embedded (FFPE
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quantitative microbial risk assessment (QMRA), while supporting additional projects involving spatial analysis of environmental hazards and health risks. The scholar will work collaboratively with faculty