Huck Institutes of the Life Sciences NSF NCEMS Postdoctoral Scholar
Core
Conduct original research applying machine learning, AI, and computational approaches to problems in molecular and cellular biology, integrating diverse public datasets to gain insights into emergent phenomena.
Role type
Postdoctoral Scholar (Machine Learning/AI in Molecular and Cellular Biology)
Builds
Research outputs and scholarly publications
Domain
Molecular and cellular biology + Data science/AI
Deliverable
research
Required skills
Machine learning, artificial intelligence, statistical learning, scientific computing, data science, Python, large-scale data analysis, predictive modeling, biological discovery
Preferred skills
Representation learning, foundation models, network analysis, graph-based learning, uncertainty quantification, scientific machine learning, interpretable AI, molecular and cellular biology concepts
Technologies
Python
Responsibilities
Develop or implement machine learning methods for large-scale data analysis and biological discovery; collaborate with faculty and research staff; produce scholarly outputs in peer-reviewed journals
Seniority
Postdoctoral Scholar