ERC-Funded Postdoctoral Position in Computational Biology
Core
Developing a new computational analysis package for single-cell and spatial multi-omics data to support translational research in cancer, genetic, and autoimmune diseases.
Role type
Postdoctoral Research Associate in computational biology
Builds
Computational software packages for single-cell RNA-seq, single-cell ATAC-seq, and spatial transcriptomics
Domain
Computational biology / Single-cell and spatial multi-omics / Cancer and immunology
Deliverable
production ML models
Required skills
Python, R, single-cell omics data analysis, spatial omics data analysis, high-dimensional data analysis, statistical methods, software package development
Preferred skills
Experience with clinical or translational datasets, experience supervising students, familiarity with spatial biology workflows
Technologies
Python, R
Responsibilities
Design and implement a computational software package for single-cell and spatial biology; Develop robust and scalable computational and statistical methods for high-dimensional data analysis; Analyse and interpret complex datasets derived from clinical samples; Supervise and mentor postgraduate and undergraduate students; Publish research in high-quality peer-reviewed journals
Seniority
Postdoctoral Fellow
