Postdoktor i beräkningsbiologi för mänsklig vävnadsarkitektur
Core
Developing computational methods and spatiotemporal models of human tissue architecture using single-cell and spatial transcriptomics to understand niche formation and function in healthy and diseased tissues of the heart, cardiovascular system, and gastrointestinal tract.
Role type
Postdoctoral researcher in computational biology
Builds
Spatiotemporal models of human tissue architecture and fundamental insights into tissue organization and disease mechanisms
Domain
Computational biology, genomics, human health (cardiovascular and gastrointestinal systems)
Deliverable
production ML models
Required skills
Single-cell transcriptomics analysis, spatial transcriptomics analysis, machine learning, Python programming, R programming, high-performance computing
Preferred skills
Data visualization, scientific communication, alternative splicing mechanisms, stem cell niche comparison, endocrine signaling mechanisms
Technologies
Python, R, single-cell sequencing platforms, spatial transcriptomics platforms
Responsibilities
Develop and execute primary research projects in computational biology, publish in academic journals and conferences, support scientific excellence and productivity in the research laboratory, mentor students to achieve research goals
Seniority
Postdoctoral, early-career independent researcher