Location
Singapore
Department
Genome Institute of Singapore
Posted
3 weeks before
About This Role
A*STAR is seeking a postdoctoral researcher for the AI in Drug Discovery (GIS) project to develop deep learning models for RNA structure prediction and analyze chemical reactivity data using high-performance computing.
Responsibilities
- Develop deep learning-based models for RNA tertiary structure prediction.
- Analyze chemical reactivity experimental data to enhance accuracy in the pipeline.
- Incorporate chemical reactivity measurements into the structure prediction framework.
- Run large-scale training on high-performance computing infrastructure.
- Perform model finetuning and hyperparameter optimization.
- Evaluate models on experimental data.
Requirements
- PhD in computer science, computational biology, or related field.
- Proven experience in deep learning research and development.
- Publication record at top-tier AI conferences (e.g., NeurIPS, ICLR, ICML, CVPR, ICCV, ACL).
- Strong experience in Python programming and software engineering.
- Experience with biomolecules or high-performance computing is a plus.
- Interest in biology, biomolecules, or genomics.