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Portal > Offres > Offre UMR3528-MASBON-003 - 1 postdoc en deep learning pour la biologie structurale (H/F)

1 postdoctoral position in deep learning for structural biology (M/F)

This offer is available in the following languages:
- Français-- Anglais

Application Deadline : 22 October 2024 23:59:00 Paris time

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General information

Offer title : 1 postdoctoral position in deep learning for structural biology (M/F) (H/F)
Reference : UMR3528-MASBON-003
Number of position : 1
Workplace : PARIS 15
Date of publication : 01 October 2024
Type of Contract : FTC Scientist
Contract Period : 12 months
Expected date of employment : 1 March 2025
Proportion of work : Full time
Remuneration : The monthly gross salary depends on experience and varies between 3081€ and 4756€
Desired level of education : Niveau 8 - (Doctorat)
Experience required : 1 to 4 years
Section(s) CN : Molecular and structural biology, biochemistry

Missions

One CNRS postdoctoral position in the “Computational Structural Biology” lab headed by Dr. Max Bonomi is available for 1 year, renewable for up to a total of 3 years. The position is funded by the ERC Consolidator Grant 2022 “bAIes”. The unit is part of the CNRS UMR3528 and the Department of Structural Biology and Chemistry at Institut Pasteur (Paris, France).

Activities

Our lab works on the development and application of integrative computational and experimental approaches to characterize structure and dynamics of complex biological systems. This project will focus on the development of novel deep learning approaches to characterize protein-protein interactions in collaboration with Dr. Vincent Mallet from the CBIO lab of Ecole des Mines (Paris, France). Applications to studying host-pathogen interactions are central to the project. The postdoc will be part of a collaborative team that works in close contacts with experimental groups at Institut Pasteur.

Skills

We are seeking candidates with a PhD degree in computational biology or computer science:
• Solid theoretical background and programming skills (PyTorch) in deep learning is essential;
• Ability to collaboratively work in a team is essential;
• Previous experience with applications in quantitative biology is essential;
• Previous experience with geometric deep learning is a plus;
• Previous experience with applications in structural biology is a plus.

Work Context

We strongly encourage applications from persons with backgrounds traditionally underrepresented in the field.

Constraints and risks

Additional practical information:
• The starting date is flexible between March 2025 and May 2025
• Duration of the contract is 1 year, renewable for up to 3 years in total
• The monthly gross salary ranges 3081€ et 4756€ depending on experience