Scholarship: $53,760 – $70,000
Degree: Master, PhD (or graduate soon)
Nationality: International Students
Location: USA
Application deadlines: From now until they are filled
Scholarship Description:
The candidate’s work focuses on analyzing newly generated large-scale single-cell mass cytometry (~20 millions single cells) and single-cell RNA-seq datasets from hundreds of human patients with at-risk and established rheumatoid arthritis (RA) and SLE by developing advanced machine learning tools. The candidate will also collaborate with researchers in the NIH funded AMP (Accelerating Medicines Partnership) RA/SLE consortium.
Available Subjects:
Systems Biology, Bioinformatics, or Computer Science
Eligibility criteria:
Specifically,
- A strong background in statistical machine learning and sequencing data analysis
- Programming in R/Python in implementing machine learning methods
- Familiar with single-cell RNA-seq or other single-cell omics data analytical pipeline
- A track record of scientific productivity and paper publication
- Ideal candidates in the following areas will be given priority: Single cell transcriptomic and spatial transcriptomic, CyTOF data analysis, statistical method development
Application Procedure:
Send application to Dr. Fan Zhang [email protected]. Title: “Application-Zhang Lab-Your Name”. Combining into one PDF file:
- Cover letter which addresses job requirements and research interests
- CV
- 3 references with name, email, and phone number
- Links to 1-2 your best papers if applicable
- Links to 1-2 your code repositories if applicable
