Postdoctoral Researcher: Advanced Cryo-Electron Tomography Data Analysis

vor 4 Wochen


Hamburg, Hamburg, Deutschland Embl-Ebi Vollzeit

Role Overview

As a postdoctoral researcher, you will develop and apply advanced algorithms for identifying macromolecular complexes in cellular tomograms using cryo-electron tomography data. You will work closely with our team to investigate and implement methods to enhance the speed and accuracy of particle identification.

Key Responsibilities

  • Develop and apply machine learning techniques for particle identification
  • Investigate and implement methods to enhance algorithm efficiency and accuracy
  • Explore the integration of spatial constraints from other data sources
  • Co-develop software packages for data analysis and dissemination
  • 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 a proven track record in the development and application of 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

Desirable Skills

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


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