Opportunity type
Internship
Cause areas
Biosecurity & pandemic preparedness
Global health & development
Routes to impact
Direct high impact on an important cause
Skill-building & building career capital
Learning about important cause areas
Skill set
Research
Academia
Software engineering
Deadline
2026-02-28
Deadline soon
Location
Berlin, Germany
Description
Charité – Universitätsmedizin Berlin is seeking a PhD student in Machine Learning for Immunology to develop computational methods for rapid, data-driven diagnosis of lung diseases as part of the Einstein Center for Early Disease Interception.
- Collaborate with leading labs to build machine learning frameworks using single-cell RNA sequencing data for lung disease classification.
- Develop robust algorithms for integrating and summarizing large-scale patient datasets and engineer interpretable features for clinical application.
- Translate computational immune signatures to high-plex flow cytometry for real-world diagnostics.
- Benefit from interdisciplinary supervision, professional development opportunities, and a supportive, inclusive work environment.
Visa requirements are not specified in the source.
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