Predicting biomolecular interactions via deep learning

Inria Nancy Grand-Est France
CAPSID team
Nancy

Description

Create a borader methodology framework to capture aspects of surface conformational diversity and interactions with different types of biomolecules


Qualifications

Master's degree in Computer Science, Bioinformatics or related program.
Experience in deep learning (scikit, Pytorch)
Good oral and written English


Start date

July 27, 2023

How to Apply

Send a detailed recent CV (with transcript of Master's marks and rank), a motivation letter and the name of 2 scientists to recommend the candidate
to marie-dominique.devignes@loria.fr AND hamed.khakzad@inria.fr


Contact

Marie-Dominique Devignes
marie-dominique.devignes@loria.fr