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for: Analysis of bulk and single cell RNA-sequencing, spatial transcriptomics, and proteomics datasets Integration of experimental model data with public and clinical datasets Statistical modeling and survival
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computational analysis of functional genomics datasets with an emphasis on single-cell omics. This person will develop new computational methods to analyze novel RNAseq, ATACseq, and Spatial Transcriptomics
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transcriptomics, proteomics, secretome/exosome profiling, and functional assay data. Experience with respiratory virology in vivo or in vitro Track record of innovative research in an academic or research setting
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. genomics, transcriptomics, proteomics, metabolomics, and related datasets. 3.) Help develop custom databases, web portals and pipelines for managing raw and processed experimental data as well as reagent
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neurobiology, systems biology, or neurodegenerative disease models.Prior experience with transcriptomic or molecular analyses in cell culture or animal model systems. Additional Qualifications If visa
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strong relevant background. The Postdoctoral Fellow should have working knowledge of in vivo mouse molecular-genetic approaches, mouse cortical immunocytochemical analyses, circuit concepts, transcriptomic
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for: Analysis of bulk and single cell RNA-sequencing, spatial transcriptomics, and proteomics datasets Integration of experimental model data with public and clinical datasets Statistical modeling and survival
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neurodegenerative processes. Responsibilities: Conduct biochemical, genetic, and transcriptomic analyses of key regulators of brain aging using mouse and cerebral organoid models. Design and perform experiments
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computational, statistical, and AI/ML approaches to uncover biological insights and support functional discovery by analyzing multi-omics datasets eg. genomics, transcriptomics, proteomics, metabolomics, and
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the opportunity to gain experience with multiple, interdisciplinary techniques, including metabolic engineering of high-value plant molecules, plant synthetic biology, enzymology, transcriptomics, and metabolomics