Postdoctoral Researcher: AI-Driven Structural Modeling of Complex Systems

vor 2 Wochen


Hamburg, Hamburg, Deutschland EMBL Vollzeit

Job Overview

We are seeking a highly skilled Postdoctoral Fellow to join our research group at EMBL Hamburg. The successful candidate will contribute to the development of AI-based methods for integrative modeling of macromolecular complexes.

Key Responsibilities

  • Develop computational methods to model 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 deep learning.
  • Contribute to open-source codebases and disseminate code in well-organized software packages.
  • Use 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 and machine learning techniques.
  • Experience in software dissemination and management.
  • Strong motivation to work in a collaborative environment.

Working Environment

The successful candidate will be affiliated with the research group of Jan Kosinski at EMBL Hamburg and spend at least a year as a visiting postdoctoral fellow at the Fabian Theis group at Helmholtz Münich.



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