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, bioinformatics, computational sciences, data science, machine learning, biostatistics, applied mathematics, computer science, or related fields. Preferred Qualifications: At least 3 years of experience in R
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, bioinformatics, signal processing, machine learning, and related fields are encouraged to apply. The fellow will play a key role in advancing the objectives of the R01, contributing to the development
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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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at the time of hire. PhD in Computer Science, Artificial Intelligence, Computational Linguistics, Machine learning, Computer Engineering or related fields Preferred Qualifications: Experience in developing and