Postdoctoral Researcher: Developing Geometric Deep Learning Models for Intrinsically Disordered Proteins

Há 1 mês


Porto, Porto, Portugal Inria Nancy - Grand Est Tempo inteiro

About the IDPFold Project

The Inria Centre in Nancy, Grand Est, is part of the Université de Lorraine and has a branch in Strasbourg. Our centre consists of 20 project teams with over 400 people from diverse nationalities.

We are seeking a postdoctoral researcher to join our team on the IDPFold project, recently funded by the French National Research Agency (ANR). The project aims to develop geometric deep learning models to study intrinsically disordered proteins (IDPs).

The postdoctoral researcher will be supervised by Hamed Khakzad and will work closely with permanent researchers on this topic. Our team has access to computational resources, including efficient GPUs and CPUs from different cluster centres.

Main Responsibilities

  • Contribute to training data collection and curation
  • Validate the method and analyse results over SOTA benchmarks
  • Supervise Master and PhD students and collaborate with other teams
  • Write scientific articles, develop software, and participate in international conferences

Requirements

  • PhD degree in Computer Science or Bioinformatics
  • Proficiency in Python and good coding practices
  • Experience in deep learning (PyTorch) is mandatory
  • Ability to work independently and collaboratively
  • Excellent oral and written English skills

Benefits Package

  • Fully funded position (3 years)
  • Partial reimbursement of public transport costs
  • Social, cultural, and sports events and activities

Estimated Salary: €55,000 - €60,000 per annum, depending on experience.



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