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, INCLUDE (INvestigation of Co-occurring conditions across the Lifespan to Understand Down syndromE) Project. The ideal candidate will have a background in multi-omic data processing, analysis, and the
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and analyze tissue and organoid cultures FACS analysis and sorting Plan and conduct molecular biological, cellular biological, and other experiments Analyze and interpret data Troubleshoot experiments
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single-cell transcriptomic data. The candidate should be proficient in, or highly motivated to learn cancer data science, machine learning, and high throughput sequencing analysis. Successful applicants
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, this position will support data analysis using advanced statistical techniques and qualitative methods and lead the preparation of manuscripts for high-impact journals, abstracts, conference presentations, and
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, including design of experimental setup, data generation, data interpretation, and manuscript writing, with the following key responsibilities: Wet lab responsibilities: Conducting molecular biology
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on EEG analysis and computational techniques. 5% Administrative & Research Compliance Ensure adherence to data management protocols for multi-cohort EEG datasets. Complete required institutional and NIH
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. The fellow will conduct research-related activities, which include day-to-day research operations, clinical trials management, data management and analysis, supervision of graduate and undergraduate research