We are seeking for talented dry (machine learning, can work remotely) and wet (single cell, spatial genomics, etc.) researchers at all levels. We aims to marry the advances in machine learning with advances in genomics to dissect the molecular mechanism during evolution, development and diseases. Welcome to join us to work in a multidisciplinary team of biologists, machine learning experts, engineers, mathematicians, and physicists! We offer an enriching training environment where graduate/undegraduate students, post-docs, RAs, staff scientists, and other members can grow into leaders in academia and industry.
Graduate Students
Graduate students from any department at Stanford are highly welcomed to contact Dr. Qiu via email directly.
Undergraduate Students
Undergraduate students at Stanford who are interested in research are highly welcomed to contact Dr. Qiu to discuss honor thesis opportunities.
Visiting Students
Dr. Qiu highly welcomes talented visiting undergraduate students and PhD students, subject to Stanford University policies and U.S. government regulations.
Research Assistants, Post-docs and Staff Scientists
If you are interested in these positions, please email your CV that describes your previous research, your GitHub account (for computational candidates), as well as a short cover letter describing your passion for your research career to Dr. Qiu at xiaojie at stanford.edu together with the contact information of three referees.
