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Postdoctoral Researcher: Cryo-Electron Tomography Data Analysis

vor 1 Monat


Hamburg, Hamburg, Deutschland Embl-Ebi Vollzeit

Role Overview

As a postdoctoral researcher at EMBL-EBI, you will develop and apply advanced algorithms for identifying macromolecular complexes in cellular tomograms. Your expertise in image processing and machine learning will be crucial in enhancing the speed and accuracy of particle identification.

Key Responsibilities

  • Develop and implement novel algorithms for macromolecular complex identification using cryo-electron tomography data.
  • Investigate and apply methods to improve algorithm efficiency, refine scoring functions, and leverage deep learning techniques in computer vision.
  • Explore the integration of spatial constraints from other data sources to enhance particle identification.
  • Collaborate with the TransFORM consortium to apply these new methods in research projects.
  • Disseminate your code in well-organized, documented, and rigorously tested software packages.

Requirements

  • Ph.D. in Computer Science, Image Processing, Computational Structural Biology, or a related field.
  • Advanced programming skills in Python and experience in developing computational tools.
  • Proficiency in numerical libraries such as NumPy and SciPy.
  • A solid foundation in mathematics and experience in algorithm development.
  • At least basic knowledge of machine learning techniques.
  • Experience in disseminating and managing software packages.

Desirable Skills

  • Experience in cryo-ET data analysis or machine learning.
  • Experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.