Postdoc: AI-Driven Antiviral Target Discovery

KU Leuven; Vlaams-Brabant; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

KU Leuven invites a researcher to join its antiviral discovery team to develop and deploy ML models that analyze high-content imaging data to identify candidate antiviral compounds. You will work in an international environment within CAPS-IT and collaborate with biologists and chemists.

The role requires a PhD in ML/CS/bioinformatics and a proven publication record; excellent English communication and independence are essential. The contract is initially one year with possible extension.

Qualifications

• PhD in ML, CS, bioinformatics or equivalent.
• Strong analytical skills and ability to lead projects.
• Excellent English communication and publications.

Responsabilités

• Develop and optimize ML-driven models in antiviral screening.
• Extract phenotypic fingerprints at whole-well and single-cell levels.
• Cluster compounds and infer MoA; integrate toxicity to reduce false positives.
• Collaborate with biology and chemistry teams; integrate multi-omics data.

Connaissances

ML models

PyTorch/TensorFlow

Data cleaning

Data fusion

Imaging data

Chemo‑informatics

Statistical skills

Formation

PhD in ML/CS/Bioinformatics

Outils

CellProfiler

Description du poste

KU Leuven invites a researcher to join its antiviral discovery team to develop and deploy ML models that analyze high-content imaging data to identify candidate antiviral compounds. You will work in an international environment within CAPS-IT and collaborate with biologists and chemists.

The role requires a PhD in ML/CS/bioinformatics and a proven publication record; excellent English communication and independence are essential. The contract is initially one year with possible extension.