Doktorand i medicinsk vetenskap, AI och bioinformatik vid BKV
Core
Developing AI-based foundation models for integrated analysis of single-cell and multi-omics data to understand molecular and cellular processes across cells, tissues, and organ systems in health and disease.
Role type
PhD researcher (Postdoc level)
Builds
Predictive and biologically interpretable models connecting molecular patterns across levels of human biology.
Domain
Computational biology, systems medicine, precision health, AI
Deliverable
production ML models
Required skills
Python, R, deep learning, machine learning, analysis of large-scale omics data, quantitative skills
Preferred skills
foundation models, transformers, generative models, representation learning, single-cell omics analysis, multi-omics integration, PyTorch, HPC, molecular and cell biology
Responsibilities
Develop and apply advanced AI and bioinformatics methods on large-scale single-cell and multi-omics data; integrate data to study cellular signaling and molecular networks; develop related research questions based on personal interests and emerging results.
Seniority
PhD candidate (early career researcher)
