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microscopy, spatial transcriptomics and in vitro and in vivo models to study brain tumor cell-cell interactions and the organization of the cancer ecosystem. We strive for highly collaborative and inclusive
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status, marital status, and/or political affiliation. See https://equity.unl.edu/notice-nondiscrimination/ . Minimum Required Qualifications High school diploma or equivalent. Ability to move items with a
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uses cutting-edge techniques including single-cell and spatial transcriptomics, proteomics, super-resolution microscopy, in vivo tracking, mouse models, and human patient tissues and iPS-derived cells
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process, modification of the microenvironment components, and integration with state-of-the-art research technologies such as high- and super-resolution microscopy, quantitative image analysis, spatial
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rolling basis with start dates as early as 1/1/2026 and as late as 3/1/2026. Group or Departmental Website: https://simpsoba.su.domains/ (link is external) How to Submit Application Materials: Please upload
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fibrosis, in vitro and in vivo testing therapeutic candidates, scRNAseq, spatial transcriptomics, confocal and electron microscopy imaging, flow cytometry, and standard biochemical/molecular approaches. Our
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and histological analyses, comprehensive animal behavioral testing, muscle and nerve electrophysiology, the use of genetically modified animal models, as well as spatial transcriptomics and proteomics
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, combines cutting-edge datasets with multivariate methods, and delivers spatially explicit tools for the attribution of compound events and impacts which might be ground-breaking to support adaptation in
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of the following areas: Tree of Life reconstruction, spatial analyses, systematics and taxonomy, or conservation biology. Strong quantitative skills: e.g. plant-phylogenetics skills (or in