Protein structure representation

Ph.D. job offer: Improving the in-silico structure representation of proteins

ESR 2: Protein structure representation

In this Ph.D. project you will, in conjunction with sequence-based approaches, work to improve the representation of protein structures so that they are more informative for use in computational approaches. In RNAct this is particularly important, as we want to have the best possible three-dimensional representation of the RRM in order perform in-silico RNA docking.

You will spend a 3 month secondment at the HMGU (Munich, Germany) to learn about experimental structural biology, and a 1 month secondment at Giotto (Firenze, Italy) to gain inisghts in NMR data used in protein structure calculations.

The project is highly interdisciplinary. Good programming skills (preferentially Python and/or C++) are essential, with knowledge of structural biology essential. Skills in machine learning/artificial intelligence and in discrete mathematics and statistics are highly desirable. Candidates must be motivated to learn about all disciplines relevant to the project.

Candidates must be fluent in English.

More detailed information available here.

Funding

H2020-MSCA-ITN-2018 813239 (Jan. 1, 19-Dec. 31, 23)
RNAct - Enabling proteins with RNA recognition motifs for synthetic biology and bio-analytics