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to support the design, implementation, and analysis of the Data Listening Tour at the Lastinger Center for Learning. The postdoc will serve as a key research partner throughout all phases of the Tour, from
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al., Nature Microbiology 2026). We are now investigating how these systems detect viral infection and activate nuclease effectors. Current directions include: Structural and biochemical analysis
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will have demonstrated experience working with large and complex datasets, including collection, management, analysis, and communication. Strong programming skills (R, Python, or similar) and a solid
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development, data analysis, manuscript writing, research presentation at conferences, and assistance with grant applications. Initial funding is for two years with a potential second, two-year appointment based
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or a related quantitative field. Candidates with PhD in biomedical science with genomics data analysis training and experience are also encouraged to apply. Job Description: This position is based within
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, and contribute to a federally funded R01 initiative focused on the integration of spatial omics, transcriptomics, and histology data. The role emphasizes computational analysis of single-cell RNA
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. About This Role Develop, maintain, and document MEG preprocessing/analysis pipelines Integrate MEG-derived biomarkers with MRI-based measures for multimodal modeling and discovery Contribute
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the start date (or completion of all degree requirements prior to the start date). Preferred: The ideal candidate will have expertise in one or more of the following areas: Design and analysis of longitudinal
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‑cell niche interaction). Multi‑omics Data Generation & Analysis – Lead next‑generation sequencing, mass‑spectrometry, or single‑cell sequencing projects; perform rigorous bioinformatic pipelines
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expertise in field data collection and quantitative time-series analysis. Coding experience for data analysis/modeling; a clear scientific writing record. Preferred: Experience with broadband seismometers and