PhD candidate

**Job Description**
We are seeking a motivated PhD candidate to join a collaborative research program within the VIB-Center for Inflammation Research, focusing on developing probabilistic deep-learning models. The primary goal is to automatically extract biological and statistical knowledge from in vivo perturbational omics data, utilizing advanced single-cell CRISPR technologies. This project aims to unravel immune cell pathways, contribute to precision medicine by training causal machine learning models, and move towards active-learning-based screening for developmental and disease states. The role is embedded within both experimental and computational teams, offering an interdisciplinary environment for model development and biological validation.

**Skills & Abilities**
� Experience in either machine learning or computational biology. Interest in both.
� Programming experience in Python.
� Excellent communication skills.
� Fluency in English.
� Collaborative personality with attention for detail.
� Experience with training and validating Pytorch and/or JAX deep learning models.
� Experience in single-cell or spatial omics data analysis.

**Qualifications**
Required Degree(s) in:
� Software engineering
� Computer science
� Data science
� Bioengineering
� Bioinformatics
� Engineering
� Physics
� Related fields

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