Postdoctoral Researcher in Computational Biology and Machine Learning at KU Leuven KU Leuven in Canada

KU Leuven is advertising a postdoctoral researcher position in computational biology and machine learning within the ERC AdG project ANTIVIRMAP. The role is based at KU Leuven and is carried out in close collaboration with the Bioinformatics laboratory of Professor Yves Moreau and the broader Leuven.AI environment.

The project is aimed at a highly motivated researcher with strong expertise in machine learning modelling and experience working with challenging large-scale datasets. The post specifically highlights skills in deep learning, data fusion, bioinformatics, and practical statistical analysis. Relevant tools and methods include PyTorch or TensorFlow, data cleaning and filtering, kernel methods, Bayesian methods, generative AI, and convolutional neural networks.

Applicants with experience in cellular imaging or high-content imaging are especially encouraged, and background in virology, immunology, cheminformatics, or drug discovery is considered a plus. The post also values strong statistical thinking around batch effects, confounders, and experimental design.

This is a postdoctoral opening; no PhD or master’s call is indicated. Funding is tied to the ERC AdG project, but the post does not specify stipend or salary details in the text provided.

Interested candidates should use the KU Leuven vacancy page linked in the post and follow the university application instructions there.