Structure determination of different assembly states of mitoribosome

Research

Computational image processing for electron cryo-microscopy

From the discovery of the DNA structure and through the understanding of various molecular mechanisms, computational algorithms have played a crucial role in interpreting complex data and revealing fundamental biological information. During the last two years electron cryo-microscopy (cryo-EM) have become a major source of molecular information, where computational acceleration of cryo-EM data processing will be key in obtaining new insight to the mechanisms of life.  The developed computational methods will be applied to biological questions studied in the lab and ultimately lead to deeper insights to DNA, RNA and protein function. The research will be conducted in the new state-of-the-art laboratory that combines experimental work with computational analysis at SciLifeLab.

Latest Publications

Amunts, A., Brown, A., Toots, J., Scheres, S. H. & Ramakrishnan, V. (2015). The structure of the human mitochondrial ribosome. Science 348, 95-98.

Amunts, A., Brown, A., Bai, X., Llácer, J., Hussain, T., Emsley, P., Scheres, S.H. & Ramakrishnan, V. (2014). Structure of the yeast mitochondrial large ribosomal subunit. Science 343, 1485-1489.

PhD position filled!

The PhD position has been filled. Thank you for your interest!

SciLifeLab and Stockholm University, Sweden

Project title: Computational image processing for electron cryo-microscopy

Project leader: Alexey Amunts, amunts(at)scilifelab(dot)se

From the discovery of the DNA structure and through understanding of various molecular mechanisms, computational algorithms have played a crucial role in interpreting complex data and revealing fundamental biological information. During the last two years electron cryo-microscopy (cryo-EM) has become a major source of molecular information. Further computational acceleration of cryo-EM data processing will be key in obtaining new insight to the unexplored mechanisms of life.

Requirements: We are seeking highly motivated and enthusiastic candidates with experience in coding for development of new algorithms to accelerate the computational image analysis of cryo-EM data. The applicant is required to show academic excellence, experience in developing programs and automated workflows, very good command of spoken and written English and an ability to work independently.
The developed computational methods will be applied to biological questions studied in the lab and ultimately lead to deeper insights to DNA, RNA and protein function.

The research will be conducted in the new state-of-the-art laboratory that combines experimental work with computational analysis at SciLifeLab.

How to apply: Please describe your experience, provide a CV and references, and indicate a preferable starting date. For more details, please contact Alexey Amunts, amunts@scilifelab.se