Machine Learning and Structural Bioinformatics

CNRS-LORIA and Inria Nancy Grand-Est
France Nancy
capsid.loria.fr

Description

The CAPSID* team at the LORIA (Inria-CNRS-University of Lorraine, Nancy) is developing computational methods for the classification and modeling of proteins and their interactions with various ligands (RNA, proteins, drugs). The multidisciplinary CAPSID team brings together researchers and teacher-researchers from a variety of backgrounds such as biology, computer science and chemistry. Affected by the death of Dave Ritchie in 2019, the team wishes to strengthen its structural bioinformatics axis by recruiting on a machine learning/deep learning/AI - oriented IT profile applied in this field.
We therefore wish to support candidates (French-speaking or English-speaking) for the 2021 competitions as CNRS researcher (section 6) or INRIA Starting research position**, as well as applications (French-speaking) for a teacher-researcher position (section 27) in 2022.
readmore at capsid.loria.fr/capsid_callforcandidates_10nov2020/

* capsid.loria.fr
**www.inria.fr/fr/starting-research-positions


Qualifications

PhD Thesis in Computer Science or in Computational Biology
Skills in machine learning / deep learning
Experience or interest in structural bioinformatics
International mobility


Start date

September 01, 2021

How to Apply

Send a presentation of your motivation and a CV including your list of publications or a link to your web homepage to MD Devignes.
Indicate two contact persons for possible recommandation.
Please note that we only offer support to apply for French national competitions without any guarantee of getting the position.


Contact

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