PhD in Probabilistic ML for Genomics & Spatial Biology

Unist; Oslo; Hybrid; NOK 480,000 - 520,000; Full time

Job summary

The University of Oslo invites applications for a PhD First Stage Researcher (R1) to develop probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging.

The project aims to deliver a scalable, interpretable framework for probabilistic unsupervised learning in biology, addressing data scale, heterogeneity, and complex dependencies across space and function.

Responsibilities

• Develop probabilistic latent-variable methods for large structured biological data.
• Apply methods to genomics, spatial transcriptomics, and fluorescence imaging.
• Address high dimensionality and heterogeneity in biomedical data.
• Contribute to an interpretable framework for probabilistic unsupervised learning in biology.

Job description

The University of Oslo invites applications for a PhD First Stage Researcher (R1) to develop probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging.

The project aims to deliver a scalable, interpretable framework for probabilistic unsupervised learning in biology, addressing data scale, heterogeneity, and complex dependencies across space and function.