Post-Doc: Multi-scale representations of protein structures for RNA/DNA docking

Keywords: Molecular modeling, Computational biophysics, structural bioinformatics, docking, methods development

Employer:  LORIA lab (Lorraine University – CNRS – INRIA ), Nancy, France

Contact: Dr. Isaure Chauvot de Beauchene (isaure.chauvot-de-beauchene (at) loria.fr), Dr. Dave Ritchie (dave.ritchie (at) loria.fr)

Start: between Feb and July 2019

Duration: 1st period of 12 months, renewable for 12 months upon tacit agreement

Job description

The aim is the development of innovative computational tools for modeling protein –nucleic acids assemblies. One main focus will be the development of combinatorial representations of protein shape variability, to be implemented in protein-DNA/RNA docking tools developed in the team [NAR_2016, PloS_2016]. These tools will be applied to large DNA – protein complexes involved in the transmission of bacterial resistance, in the context of the CITRAM collaborative project with experimental biologist (DynAMic lab, UL – INRA, Nancy).

Eligibility.

Candidates must have a PhD degree in computer science, (bio-)physics, bioinformatics or structural biology. Strong programming skills (preferentially in Python) are required. Skills in discrete mathematics, statistics and/or knowledge of molecular structures are very desirable. Experience with students co-supervision would be appreciated.

Working environment

The CAPSID research group develops computational tools for data mining on macromolecular assemblies and 3D modeling of those assemblies. We are part of an informatics-mathematics lab (LORIA), and have several collaborations with experimental biology/biophysics teams.

Funding

The position is funded through the Lorraine University of Excellence initiative and the European Regional Development Fund (ERDF). The gross salary is 2,500 € per month.

Application

Applications should be sent in PDF format and must include a detailed recent CV, a list of publications, a cover letter describing the candidate’s research interest and expertise relevant to the subject, and the name of at least 3 scientists willing to provide a letter of recommendation.

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