Xiaojing Gao
Top university
1 month ago
Computational Postdoc in Foundation Models for Intrinsically Disordered Proteins Stanford University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Country
United States
University
Stanford University

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
Suggested positions
About this position
Stanford University’s SynBioGaoLab is advertising a computational postdoc focused on foundation models and sequence-structure-function studies of intrinsically disordered proteins. The project is described as part of a consortium using unique large datasets and an interdisciplinary team that bridges several labs.
This opportunity is especially relevant for researchers with experience in machine learning, AI, protein design, and protein analysis. The post emphasizes computational work at the intersection of biology and computer science, with a strong biomolecular engineering/synthetic biology flavor.
The announcer is Xiaojing Gao, Assistant Professor at Stanford University. The post invites interested candidates to email the lab directly, but no formal application portal, deadline, or funding details are provided in the text.
If you are looking for a postdoctoral role in AI for biology, protein modeling, or data-driven biomolecular research, this appears to be a strong fit.
Funding details
Available
What's required
Ideal candidates have led ML/AI projects in protein design or protein analysis. The role is for a computational postdoc working on foundation models and sequence-structure-function studies of intrinsically disordered proteins, and the team is looking for someone comfortable working in an interdisciplinary consortium across several labs.
How to apply
Email the lab to express interest and apply. The post does not provide a formal portal or deadline.
More information can be found here
Ask ApplyKite AI
Professors

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.