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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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ability and experience in Western Blot, immunoprecipitation, PCR, qPCR, and FACS. Demonstrated ability to contribute to experimental design, analysis, interpretation of the results, and troubleshooting
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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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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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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
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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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‑analysis (MBMA) frameworks in maternal-fetal pharmacology. The applicant will conduct systematic data review and extraction from clinical and physiological literature, curate databases for PBPK model