OpenFieldHumanitas AI & Computational Oncology Laboratory Research Project
Funded translational oncology project combining single-cell spatial transcriptomics with machine learning algorithms to identify drug resistance mechanisms in solid tumors.
Application checklist & requirements
These requirements reflect published university guidelines available at the last review. Review official department guidelines before submission.
- Academic degree / Prerequisites
- Enrolled in postgraduate biomedical degree or bioengineering program
- English language proficiency
- English C1
- Standardized testing (GRE/GMAT)
- Not required
- Thesis / Research statement
- Research prospectus on single-cell RNA sequencing data analysis in pancreatic adenocarcinoma
- Recommendation letters
- Principal investigator endorsement
How much will it cost? How much funding is available?
- Financial support / stipend
- €18,000 project grant and clinical multi-omics biobank access
- Application fee
- €0
- Tuition / joining costs
- Supported by Italian Association for Cancer Research (AIRC) grants
Dates and verification
- Application deadline
- January 31, 2027 (Spring 2027 cycle)
- Last source review
- 2026-10-15
Important verification note
Facts reflect official Humanitas University documentation reviewed 2026-10-15. Admissions, funding allocations, and eligibility thresholds are evaluated by the university.
Reviewed 2026-10-15 · Editorial standards · Report an issue