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PhD position in Molecular Biology - Genomic views of protein-RNA interactions & splicing regulation

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In the field of  “Genomic views of protein-RNA interactions & splicing regulation” the research group of Dr. Julian König offers the following PhD project:

Computational approaches towards cracking the splicing code

The regulation of splicing is achieved through the coordinated binding of many RNA-binding proteins. It is becoming clear that their recruitment is not solely dependent on the underlying RNA sequence, but is strongly shaped by the interactive environment. Means of interaction include direct competition, cooperative recruitment and the modulation of secondary structure. Knowledge about the acting forces is therefore critical to predict the function of an RNA-binding protein and its impact on the splicing outcome. 
This project aims at a global understanding of RBP interactions in the context of splicing regulation. The PhD student will develop and apply computational tools to investigate first-hand genome-wide datasets that were generated with state-of-the-art techniques such as RNA-seq and iCLIP. The data will be integrated using network analyses and machine learning strategies to obtain systemic views on the combinatorial action of RBPs in splicing regulation. The project will be based on close collaborations with experimental and computational scientists within and outside our group.

We offer
•    The possibility to work on a cutting-edge project using state-of-the-art technology in a highly motivated research team
•    A stimulating, diverse and international research environment
•    Advanced training opportunities
•    A competitive stipend

Required qualifications
•    Master or Diploma
•    Motivation to solve complex biological problems
•    Excellent communication skills

Starting date: October 2015 or later
Duration of stipend: 3 years, with the possibility of extension
Deadline for registration (exclusively online via web form):  20 June 2015


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Details der Stellenanzeige

Befristete Anstellung
Berufserfahrung nicht vorausgesetzt
Deutschland (Rheinland-Pfalz)
55128 Mainz
Biologie & Life Sciences, Informatik