Postdoctoral Researcher in Machine Learning and Biology

3 days ago


Palo Alto, California, United States Stanford University Full time
Postdoctoral Researcher in Machine Learning and Biology

Stanford University School of Medicine is seeking a highly motivated postdoctoral researcher to join our machine learning group. The successful candidate will have a strong background in machine learning and a passion for applying these techniques to real-world problems in biology and medicine.

We are particularly interested in candidates with experience in building and applying machine learning models to large datasets. A strong publication and external funding track record is essential. Familiarity with modern AI/ML platforms and libraries such as PyTorch, TensorFlow, or Jax is also required.

The postdoctoral researcher will work closely with our team to develop and apply machine learning algorithms to a wide range of high-impact topics, including artificial intelligence-guided clinical decision making, integration of mental health, physical health, immune fitness, and nutrition in various clinical settings.

We encourage applicants from groups traditionally underrepresented in computer science and machine learning to apply. Our laboratory is committed to diversity and inclusion, and we believe that a diverse team is essential for innovative research.

Key Responsibilities:

  • Develop and apply machine learning algorithms to large datasets
  • Collaborate with our team to develop and implement new research ideas
  • Contribute to the development of open-source software adopted by the research community
  • Present research findings at conferences and workshops

Requirements:

  • PhD in a quantitative field with research experience in machine learning
  • Excellent publication and external funding track record
  • Familiarity with modern AI/ML platforms and libraries
  • Strong communication and collaboration skills

Preferred Qualifications:

  • Experience in medicine and/or biology
  • History of publications in leading AI/ML/Bioinformatics conferences and journals
  • Diverse experience in varied AI/ML concepts

How to Apply:

Please submit your application, including your CV, cover letter, and contact information for three references, to the following Google form: https://forms.gle/...

We are an equal opportunity employer and welcome applications from diverse candidates. We are committed to creating an inclusive and supportive work environment.



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