PhD Position in Multi-Omic Approaches and Machine Learning for Imprinting Disorders

Sorbonne University invites applications for a doctoral research position focusing on the next-generation diagnosis of imprinting disorders. The project combines multi-omic approaches and machine learning to build integrated and predictive diagnostic models. The candidate will work within a dynamic academic environment in France, collaborating with researchers in biology, health, and computational analysis. The successful applicant is expected to drive independent research, develop computational pipelines, and contribute to scientific publications.

• Design and implement machine learning models for the integration of multi-omic datasets.
• Analyze complex biological data to identify diagnostic signatures for imprinting disorders.
• Develop reproducible computational workflows and pipelines for data processing.
• Collaborate with clinical and biological research partners to validate computational findings.
• Prepare research findings for publication in peer-reviewed scientific journals and presentation at conferences.