Post-Doctoral Research in Macromolecular Complexes: Inria is seeking a highly motivated post-doctoral researcher to join a dynamic team dedicated to understanding protein conformational dynamics and their implications in cellular processes. This role will focus on developing advanced graph neural network architectures to dissect the conformational behaviors of macromolecular complexes within a multidisciplinary environment.
Post-Doctoral Research Visit F/M: Deciphering Conformational Dynamics in Macromolecular Complexes
Designation
Post-Doctoral Researcher
Research Area
Conformational Dynamics in Macromolecular Complexes
Location
Villers-lès-Nancy, France (Inria Centre at the Université de Lorraine)
Eligibility/Qualification
- PhD degree in Computer Science, Bioinformatics, or related field
- Proficiency in Python and strong coding practices
- Experience in deep learning using PyTorch is mandatory
- Knowledge in protein biochemistry is essential
- Ability to work independently and collaboratively in a team
- Excellent oral and written English skills
Job Description
The successful candidate will:
- Develop and implement deep learning architectures to study biomolecular dynamics
- Contribute to the collection and curation of training data
- Validate methodologies and analyze results against state-of-the-art benchmarks
- Supervise Master students and collaborate with PhD students
- Contribute to writing scientific articles and software development
- Participate in international conferences to disseminate research findings
How to Apply
Interested candidates should submit their applications online through the Inria website. Please ensure that your application highlights relevant qualifications and experiences.
Last Date to Apply
September 30, 2025
Join our innovative team and contribute to groundbreaking research that explores the intricate dynamics of biomolecules, aiming to unlock key mechanisms in molecular biology and disease!
