Postdoctoral Researcher: AI-Driven Structural Modeling

vor 12 Stunden


Hamburg, Hamburg, Deutschland EMBL Vollzeit
Job Opportunity

We are seeking a highly motivated Postdoctoral Fellow to join our research group at EMBL Hamburg. The successful candidate will work on developing computational methods to model the atomic structure of large macromolecular complexes using AI-based tools and integrating experimental data.

Key Responsibilities
  • Develop and implement novel computational methods for structural modeling using AI-based tools and experimental data
  • Investigate and implement methods that combine statistical techniques with non-linear optimization approaches and deep learning
  • Contribute to open-source codebases and disseminate code in well-organized software packages
  • Collaborate with researchers within the TransFORM consortium on research projects
Requirements
  • Ph.D. in Computer Science, Computational Structural Biology, or a related field
  • Proficiency in numerical libraries and machine learning techniques
  • Experience in software dissemination and management
  • Strong motivation to work in a collaborative environment
Preferred Qualifications
  • Experience in computational structural modeling or deep learning
  • Experience in deep learning techniques for 3D macromolecular structure analysis

We offer a stimulating work environment, opportunities for professional growth, and a competitive stipend. If you are a motivated and talented researcher, please submit your application.



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