Postdoktor i AI-driven spatial biologi i den mänskliga tarmen
Core
Develop autonomous AI systems to model human tissue architecture using single-cell and spatial transcriptomics data, focusing on gastrointestinal diseases.
Role type
Postdoctoral researcher (AI-driven spatial biology)
Builds
Autonomous AI agents for end-to-end bioinformatic analysis
Domain
Computational biology, Artificial Intelligence, Gastroenterology
Deliverable
production ML models
Required skills
Machine learning, Deep learning, Foundation models, Autonomous AI agents, Spatial transcriptomics analysis, Single-cell RNA sequencing analysis, Computational biology methods, Scientific publication, Open-source software development
Preferred skills
Data visualization, Scientific communication, Mentoring, Team collaboration
Technologies
Python, TensorFlow, PyTorch, Nextflow, Snakemake, Docker, Kubernetes, Cloud computing platforms
Responsibilities
Develop and evaluate AI agents for automated analysis of single-cell and spatial transcriptomics data; Integrate large-scale datasets from spatial transcriptomics; Investigate biological mechanisms of tissue organization; Disseminate research results through publications, conferences, and open-source software; Mentor students and support collaborative projects.