Postdoctoral Researcher: Advanced Cryo-Electron Tomography Data Analysis
vor 4 Wochen
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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