Postdoc: AI-Driven Virology & Drug-Target Discovery

Karlstad University; Leuven; Sur place; EUR 42 000 - 65 000; Plein temps

Avantages offerts par ce poste

Fully funded position

Résumé du poste

KU Leuven invites applications for a Postdoctoral Researcher in Machine Learning within the antiviral research program. The role focuses on developing advanced ML models to extract rich phenotypic fingerprints from high-content imaging of virus-infected cells and to prioritize compounds for further virological studies.

The successful candidate will engage in state-of-the-art AI for chemo-informatics, structural modelling, and omni-omics validation, contributing to the Atlas of Druggable

Qualifications

• PhD in machine learning, computer science, bioinformatics or equivalent.
• Strong ML modelling expertise with large-scale data.
• Experience with cellular imaging data is a plus.

Responsabilités

• Develop and deploy ML models on high-content imaging data to select antiviral compounds.
• Cluster compounds and infer mechanisms of action; integrate toxicity data to reduce false positives.
• Iteratively refine models with downstream validation data to expand the druggable antiviral target space.
• Interpret results to guide compound prioritization and experimental planning.

Connaissances

ML modelling

Deep learning

Data preparation

Data fusion

Imaging data

Chemo-informatics

Statistics

Formation

PhD in ML/CS/Bioinformatics

Outils

PyTorch

TensorFlow

CellProfiler

Description du poste

KU Leuven invites applications for a Postdoctoral Researcher in Machine Learning within the antiviral research program. The role focuses on developing advanced ML models to extract rich phenotypic fingerprints from high-content imaging of virus-infected cells and to prioritize compounds for further virological studies.

The successful candidate will engage in state-of-the-art AI for chemo-informatics, structural modelling, and omni-omics validation, contributing to the Atlas of Druggable