Visiting Student - DSL - Kang, Taeyeop - 2.12.26.

Argonne National Laboratory • Lemont, IL

2d

About The Position

The student will be working on integrating Advanced Privacy Preserving Federared Learning (APPFL) capabilities with algorithmic advances in doing privacy preserving GWAS and fine-mapping on data across multiple biobanks.

Requirements

• The entirety of the appointment must be conducted within the United States.
• Must be 18 years or older at the time the appointment begins.
• Applicants must be: Currently enrolled in undergraduate or graduate studies at an accredited institution. Graduated from an accredited institution within the past 3 months; or Actively enrolled in a graduate program at an accredited institution.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed