[with apologies if you get this more than once]
Dear all
A 3-year position is available to develop software for structure validation using Deep Learning-derived predicted residue contacts and distances, and for optimal Molecular Replacement using the results of the latest RNA structure prediction methods. The candidate
should have a detailed understanding of macromolecular structure, software development skills, ideally in Python, and familiarity with the use and results of current Deep Learning-based structure prediction methods such as AlphaFold. An understanding of the
principles of X-ray crystallography and experience in Machine Learning are desirable.
should have a detailed understanding of macromolecular structure, software development skills, ideally in Python, and familiarity with the use and results of current Deep Learning-based structure prediction methods such as AlphaFold. An understanding of the
principles of X-ray crystallography and experience in Machine Learning are desirable.
See https://tinyurl.com/yhay4xtb and
https://www.ccp4.ac.uk/job/pdra-positions-available-for-ccp4-methods-and-software-development/
https://www.ccp4.ac.uk/job/pdra-positions-available-for-ccp4-methods-and-software-development/
The application deadline is 11th July.
For informal enquiries contact Prof. Dan Rigden [he/him] (drigden@liverpool.ac.uk)
Prof Daniel Rigden (He/Him)
Department of Biochemistry, Cell and Systems Biology
Institute of Systems, Molecular and Integrative Biology
Room 101, Biosciences Building
University of Liverpool
Crown St., Liverpool, L69 7ZB
(+44) 151 795 4467
www.liverpool.ac.uk/systems-molecular-and-integrative-biology/staff/daniel-rigden/