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Job Description
The successful candidate will work with PIs Associate Professor Duane Loh and Assistant Professor Tan Yongzi on computational phase retrieval for cryo-electron microscopy of floppy, low-contrast RNA molecules.
The main responsibilities of the position include:
- Develop realistic forward model to simulate noisy cryo-electron micrographs from RNA biomolecules.
- Perform computational phase retrieval on 2D micrographs using physics-informed neural networks.
- Infer structural variability of floppy biomolecules from computationally phase-retrieved micrographs.
Qualifications
Ph.D. in physics-related disciplines.
Experience:
- Fluent in high-performance scientific computing and imaging in python, and comfortable in the Unix environment.
Skills:
- Strong foundation in computational optics, deep learning, high performance computing, and structural biology in cryo-EM
