PhD candidate or Postdoctoral Fellow

**Job Description**
This collaborative research project within the VIB-Center for Inflammation Research focuses on understanding intercellular cascades in tissues, particularly in the liver, where a 4-cell module (hepatocytes, stellate cells, sinusoidal endothelial cells, Kupffer cells) drives identity changes in disease-like states. The role involves dual focus: analyzing spatial, single-cell, and multi-omics data in healthy, genetically perturbed, and regenerating livers, and developing algorithms to disentangle direct intercellular signals. Predictions from these computational methods will be validated using CRISPR-based in vivo perturbational approaches. The position is embedded in both experimental and computational teams, fostering an interdisciplinary atmosphere for deep computational modeling and direct experimental validation.

**Skills & Abilities**
� Interest in multi-omics data analysis and algorithm development
� Programming experience in Python
� Excellent communication skills
� Fluency in English
� Collaborative personality with attention for detail
� Experience in multi-omics data analysis

**Qualifications**
Required Degree(s) in:
� Bioinformatics
� Biotechnology
� Bioengineering
� Biomedicine
� Software Engineering
� Data Science
� Physics
� Related fields

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