About the Project
Our group develops new algorithms for cryo-EM structure determination and implements these in the popular image processing software RELION. In this context, we are seeking a PhD student who would be keen to contribute to algorithm design and implementation. Possible topics include the application of deep-learning techniques from artificial intelligence to several tasks in the cryo-EM singe particle analysis pipeline, such as micrograph and particle selection and the automation of complicated classification procedures; the development of new approaches to model flexible molecules; and better procedures for amyloid structure determination. In addition, we are currently working on procedures for smart data acquisition, with automated feedback from on-the-fly image processing. The ideal candidate has a keen interest in working with structural biologists and has a background in numerical data processing and computer programming, possibly including deep-learning approaches.
J. Zivanov, T. Nakane, B. Forsberg, D. Kimanius, W.J.H. Hagen, E. Lindahl & S.H.W. Scheres (2018) "RELION-3: new tools for automated high-resolution cryo-EM structure determination"
S.H.W. Scheres (2012) "RELION: Implementation of a Bayesian approach to cryo-EM structure determination"
J. Struc. Biol. 180, 519-530
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