Postdoctoral Researcher: AI-Driven Structural Modeling of Macromolecular Complexes

Vor 6 Tagen


Hamburg, Hamburg, Deutschland EMBL Vollzeit

About the Role

As a Postdoctoral Researcher in our team at EMBL, you will play a key role in developing cutting-edge computational methods for modeling the atomic structure of large macromolecular complexes. Your expertise in AI-based algorithms and experimental data integration will be crucial in advancing our understanding of complex biological systems.

Key Responsibilities

  • Develop and implement novel computational methods for structural modeling using AI-based tools and experimental data.
  • Investigate and integrate statistical techniques, non-linear optimization approaches, and deep learning methods for improved modeling accuracy.
  • Contribute to the development of open-source codebases and disseminate your work through well-documented software packages.
  • Collaborate with our research group and external partners to apply these new methods to research projects within the TransFORM consortium.

About You

We are seeking a highly motivated and experienced researcher with a strong background in computational structural biology, computer science, or a related field. Your expertise in machine learning, numerical libraries, and software dissemination is essential for this role. A strong motivation to work in a collaborative and multidisciplinary environment is also crucial.

What We Offer

  • A dynamic and supportive research environment at EMBL.
  • The opportunity to work with a talented team of researchers and contribute to cutting-edge projects.
  • A competitive stipend and benefits package.


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