Postdoctoral Research Associate in Mathematical and Statistical Methods for Genome Privacy (Fixed Term)
The role involves developing new mathematical and computational methods for privacy-preserving human pangenome references. Responsibilities include working on differentially private construction and analysis of pangenome graphs, privacy-aware graph algorithms, and statistical characterization of privacy-utility trade-offs. The successful candidate will have the freedom to shape the scientific direction and collaborate with experts in statistics, optimization, and differential privacy.
On-site
Contract
