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Postdoctoral Researcher in Machine Learning and Biology
2 months ago
We are seeking a highly motivated postdoctoral scholar to join our machine learning group at Stanford University School of Medicine. This is a unique opportunity for a machine learning scientist to directly impact patients' lives in a clinical setting.
Our research focuses on developing and applying machine learning algorithms to various high-impact topics, including artificial intelligence-guided clinical decision making, integration of mental health, physical health, immune fitness, and nutrition in various clinical settings. Particular areas of interest include pregnancy and neonatology, recovery from stroke and surgery, as well as physical and biological aging.
We encourage our postdoctoral fellows to receive extensive training in entrepreneurship and business management from the Stanford University Graduate School of Business. This is an excellent opportunity for a candidate who is not only interested in participating in state-of-the-art academic research, but is also interested in exploring industrial and entrepreneurial career trajectories.
Key Responsibilities- Develop and apply machine learning algorithms to various clinical settings
- Collaborate with our team to design and implement research studies
- Contribute to the development of open-source software adopted by the research community
- PhD in a quantitative field with research experience in building/applying machine learning models
- Excellent publication and external funding track record
- Interest (but not necessarily expertise) in medicine and biology
- Familiarity with modern AI/ML platforms and libraries such as PyTorch, TensorFlow, or Jax
- History of publications in leading AI/ML/Bioinformatics conferences and journals
- Diverse experience in varied AI/ML concepts
- Track record in development of open-source software adopted by the research community
- Experience in medicine and/or biology
- Opportunity to work with a world-class team of researchers and clinicians
- Access to cutting-edge research facilities and resources
- Competitive salary and benefits package
We are an equal opportunity employer and welcome applications from diverse candidates. Please submit your application through the following Google form: Application Information