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biology and in vivo modeling. Knowledge, Skills and Abilities: Proficiency with flow cytometry Excellent communication skills. Excellent writing skills Demonstrates the proficiency in computer software
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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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Campus. The appointment will be for a two to three-year period. The main emphasis of this position will be working in the research areas of genomics, cancer biology, and patient-derived organoids
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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