Postdoktor inom multiomik, maskininlärning cancerbiologi
Core
Develop interpretable and biologically meaningful models by integrating multiple data types including genomics, transcriptomics, DNA methylation, clinical/pathological data, and medical images for cancer research.
Role type
Postdoctoral researcher (computational biology/machine learning)
Builds
Computational research projects and models for precision medicine and diagnostics
Domain
Biomedical research, cancer biology, multi-omics, computational pathology
Deliverable
production ML models
Required skills
Machine learning, deep learning, Python, R, statistics, multivariate data analysis, high-dimensional biological data integration, Unix/Linux environments, scientific writing
Preferred skills
Interpretable/explainable ML models, cancer genomics/precision medicine applications, large-scale public/clinical datasets, independent project development, mentoring
Technologies
Python, R, Unix/Linux, deep learning frameworks, medical imaging tools
Responsibilities
Integrate heterogeneous data types (genomics, transcriptomics, methylation, clinical, pathological, medical images), develop and evaluate computational methods/ML models, contribute to research grants and networks, lead independent computational research projects
Seniority
Postdoctoral (early career researcher)
