Scholarship: Fully-funded
Degree: Ph.D
Nationality: International Students
Location: USA
Application deadlines: Open
Scholarship Description:
The Ma lab focuses on understanding liver cancer biology using advanced spatial single-cell omics. Our research examines tumor heterogeneity in relation to tumor initiation and evolution, aiming to enhance early detection and therapies for liver cancer.
Selective Publications:
- Ma et al., Cancer Cell 36: 418-30, 2019
- Ma L, et al., Journal of Hepatology 75.6: 1397-1408, 2021
- Ma et al., Nature Communications 13.1: 7533, 2022
- Ma et al., Trends in Cancer 8.4: 286-290, 2022
- Maestri et al., Hepatology 79.4: 768-779, 2024
- Revsine et al., Cell Reports Medicine 5.2, 2024
The group is well-funded, offering opportunities for cutting-edge cancer research and collaboration with leading NIH research groups.
- Stable funding
- Exciting research in cancer biology, mathematical modeling, and translational science
- Use of advanced technologies like single-cell and spatial sequencing for profiling patient-derived tumor samples
- Various collaboration opportunities
- Interaction with exceptional scientists, computational biologists, and clinicians at NIH
- Numerous opportunities for exposure at NIH and international conferences
The NIH Intramural Research Program is the largest biomedical research institution globally, with 1,200 Principal Investigators and over 4,000 Postdoctoral Fellows involved in basic, translational, and clinical research.
Available Subjects:
Computational Biology or Cancer Biology
Eligibility criteria:
- A Ph.D. in computer science, bioinformatics, biology, or a related discipline is required.
- Positions are available in both cancer biology and computational biology. Programming and analytical skills are necessary for computational biology roles, while a strong wet-lab background is essential for tumor biology.
- A background in molecular biology, genetics, immunology, computational biology, or bioinformatics is preferred but not mandatory.
- A strong record of scientific achievement demonstrated through peer-reviewed publications is required.
Application Procedure:
Send an e-mail to [email protected]
