Postdoctoral Researcher: AI-Driven Structural Modeling

vor 3 Wochen


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 contribute to the development of AI-based integrative modeling tools for large macromolecular complexes.

Key Responsibilities
  • Develop and implement computational methods for modeling the atomic structure of large macromolecular complexes using AI-based tools and integrating experimental data.
  • Investigate and implement methods that combine statistical techniques with non-linear optimization approaches and advanced deep learning.
  • Contribute to open-source codebases and disseminate code in well-organized, documented, and rigorously tested software packages.
  • Apply these new methods for research projects within the TransFORM consortium.
Requirements
  • Ph.D. in Computer Science, Computational Structural Biology, or a related field.
  • Proficiency in numerical libraries such as NumPy and SciPy.
  • Experience with machine learning techniques and frameworks.
  • Strong motivation to work in a highly collaborative and multidisciplinary environment.
What We Offer
  • Contract duration: 3 years with possibility of extension up to 5 years.
  • Grading: Stipend.
  • Reference number: HH00227.


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