Postdoktor inom multi-omik och maskininlärning
Core
Integrate and analyze multi-omics data to identify circulating biomarkers for pediatric leukemia risk stratification and develop targeted therapies.
Role type
Postdoctoral researcher (multi-omics & machine learning)
Builds
Production ML models for disease subtyping and treatment response prediction
Domain
Biomedical research / Pediatric oncology / Multi-omics
Deliverable
production ML models | research
Required skills
Python, R, Linux/UNIX environment management, large-scale DNA/RNA sequencing analysis, proteomics data analysis (affinity-based or mass spectrometry), machine learning for biomedical applications
Preferred skills
Multi-omics data integration, machine learning for biomedical applications
Responsibilities
Analyze multi-omics data from pediatric leukemia samples and in vitro models; Develop and apply machine learning models to identify disease subtypes and predict treatment response; Collaborate with pediatric oncologists, bioinformaticians, and computational biologists; Author scientific articles and present results at conferences
