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generative AI pipelines to process multimodal data for downstream analysis, developing teaching/tutor/district-facing systems to surface analytic insights. Applicants with experience in some—but not
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include designing and executing experiments to interrogate host-microbe interactions, analyzing and interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical
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interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical approaches to characterize microbial community structure and function, working with graduate students
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quantitative analytic methods. Core responsibilities include: Conducting data analysis for ongoing projects. Developing independent and collaborative publications by accessing available longitudinal data
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developmental perspectives linking psychological factors to health. Cutting-edge quantitative analytic methods. Core responsibilities include: Conducting data analysis for ongoing projects. Developing independent
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., transcriptomics, proteomics, metabolomics) - Microscopy methods, FT-IR spectroscopy, or other analytical imaging techniques - Analysis of next-generation sequencing data - Programming skills (e.g., Python, R
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, contribute to data visualization, figure preparation, and professional scientific writing. (30%); Assist in the development of proposals for external funding for research projects. (5%) Requirements Required