Postdoc: Predict Phage Protein Interactions & Functions

SFBI

Gif-sur-Yvette

Sur place

EUR 36 000 - 47 000

Plein temps

Il y a 3 jours
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Résumé du poste

I2BC, on the Gif-sur-Yvette campus, seeks a postdoctoral researcher to predict biomolecular interactions of phage proteins. You will benchmark deep-learning structure tools and combine evolutionary information with structural data to advance functional annotation of phage genomes.

The project includes multi-scale modeling, ML feature extraction, and developing tools for genome-wide predictions, with collaboration across French and German teams.

Qualifications

  • PhD in bioinformatics, microbiology/viral ecology, or related field.
  • Experience in data analysis and methods development.
  • Fluent scientific English; knowledge of French not required.

Responsabilités

  • Data collection and curation for phage protein projects.
  • Benchmarking of 3D structure prediction tools and language models.
  • Multi-scale structural modeling and analysis of predicted models.
  • Statistical modeling to extract features and develop predictors.
  • Analysis of interaction networks and data integration tasks.
  • Development of scripts and software; use of compute clusters.
  • Prepare data for VirJenDB integration; contribute to project dissemination.

Connaissances

Data analysis
Methods development
Biological network analysis
Statistical modeling
English (scientific)
Python
Phage biology knowledge
Protein/RNA structure data

Formation

PhD in bioinformatics, microbiology/viral ecology, or related

Outils

Python
3D structure prediction tools (AlphaFold/ESMFold)

Description du poste

I2BC, on the Gif-sur-Yvette campus, seeks a postdoctoral researcher to predict biomolecular interactions of phage proteins. You will benchmark deep-learning structure tools and combine evolutionary information with structural data to advance functional annotation of phage genomes.

The project includes multi-scale modeling, ML feature extraction, and developing tools for genome-wide predictions, with collaboration across French and German teams.

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