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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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microenvironment. Implementation of schedule methodology, timeline and lab book Collecting, recording, analyzing, and presenting data Preparation of project reports and manuscripts for publication Meeting with
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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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, including design of experimental setup, data generation, data interpretation, and manuscript writing, with the following key responsibilities: Wet lab responsibilities: Conducting molecular biology