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. Use of animal model systems to study leukemia pathogenesis. Analysis and Publication of Research Data (20% of Time Spent) Mentoring of students and technical staff (5% of Time Spent) Prepare data and
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-institutional projects in active collaborative pancreas research with other academic designated facilities Interpret data, and analysis for the development of scientific manuscripts and presentations at national
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Cell Biology A working knowledge of computer software for data analysis and presentation. Experience with animal modes Preferred Qualifications: Background in perinatal biology Knowledge, Skills, and
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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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interpretable AI models. Leveraging bioinformatics and multi-omics data integration to explore disease associations and biomarker discovery. Dr. Nicholas Dwork, PhD (Co-I) is an Assistant Professor in
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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