Scholarship: Fully-funded
Degree: Ph.D
Nationality: International Students
Location: CHINA
Application deadlines: Open
Scholarship Description:
Professor Wang Kaile is currently the research group leader at the Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences. He explores the origin and evolution of tumor cells by developing and applying high-throughput single-cell and spatial sequencing technologies.
His group previously developed high-throughput single-cell DNA sequencing techniques, spatial labeling methods for single cells, and various low-frequency mutation detection methods based on high-throughput sequencing. They systematically studied the clonal evolution from primary to recurrent breast cancer, revealing the clonal evolution model and identifying genomic variation events associated with breast cancer recurrence, providing targets for future treatment.
The group will continue to address questions about tumor cell origin and evolution through high-throughput single-cell multi-omics and spatial omics sequencing technologies. Key topics include how somatic mutations lead to tumorigenesis, multi-omics characterization of tumor initiating cells, spatial localization, interactions with the microenvironment, and the relationship between aging and tumors.
For more details about the lab, visit:
http://cemcs.cas.cn/sourcedb/zw/pi/202405/t20240507_7153758.html.
Available Subjects:
- Data analysis, algorithm development, and application of sequencing technologies such as single-cell, spatial omics, and high-throughput sequencing, including the development and application of large AI models.
- Development and application of experimental techniques such as single-cell sequencing, spatial sequencing, and high-throughput sequencing.
Eligibility criteria:
- (1) Must have obtained (or be about to obtain) a Ph.D. in molecular biology, cell biology, computational biology, genomics, biomedical engineering, or related fields. Proficiency in high-throughput and single-cell sequencing, as well as multi-omics data analysis, is required. Experience in high-throughput sequencing, single-cell sequencing, spatial omics, algorithm development, AI models, and tumor genomics analysis is preferred.
- (2) Passion for research, curiosity about the unknown, enjoyment of exploration, and aspirations to become an independent PI are essential.
- (3) Strong English reading, writing, and communication skills are required, with publications as the first author in SCI journals (or forthcoming).
- (4) Must be self-driven, responsible, a team player, and able to conduct independent research under the PI’s guidance.
Application Procedure:
(1) Application letter: Include research interests, career plans, and proposed start date.
(2) Updated CV: Include a recent photo, contact number, education and work experience, technical skills, publication list, and references.
Please send the above information to:
[email protected].
