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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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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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. 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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surveys of an East Asian society are required. Knowledge and skills of GIS and spatial studies are considered advantageous. To apply, please submit your application at https://careers.purdue.edu 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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, spatial molecular profiling and downstream molecular analyses are typically performed on separate samples. The aim of this PhD project is to develop and apply new methods for integrated multimodal
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North Carolina State University- Department of Chemical and Biomolecular Engineering | Raleigh, North Carolina | United States | about 10 hours ago
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experience in at least one of the following: The fields of Glycobiology, Inflammation, or Type 2 Diabetes Multiplexed staining methods Quantitative image analysis Spatial Omics Omics analysis Desirable
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Heidelberg, Baden-Württemberg | Germany | 6 days ago
), additional PhD preferred Experience and very good knowledge of NGS techniques, library preparation, tissue handling, and imaging (skills in data analysis are a plus) Previous work in the single-cell field
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Memorial Sloan Kettering Cancer Center | New York City, New York | United States | about 10 hours ago
: PhD-level experience in computational biology, single cell omics applied in a cancer setting Experience in high-dimensional data analysis Preferably have advanced knowledge of topics in tumor biology