Max Planck Institute for Mathematics in the Sciences, Sofja Kovalevskaja Research Group

Position ID:Max Planck Institute for Mathematics in the Sciences-Sofja Kovalevskaja Research Group-PDRNAWORLD [#15683]
Position Title: Postdoc
Position Type:Postdoctoral
Position Location:Leipzig, Sachsen 04103, Germany [map]
Subject Areas: Biochemistry / Biochemistry
Machine Learning / Machine Learning
Bioinformatics / Interdisciplinary
Biophysics / Biological Physics
Evolution
Appl Deadline:2020/03/01help popup (posted 2019/12/09, listed until 2020/06/09)
Position Description:    

*** the list date or deadline for this position has passed, and no new applications will be accepted. ***

The Smerlak group at the Max Planck Institute for Mathematics in the Sciences (Leipzig, Germany) seeks a talented postdoc to join an international collaboration working on the origin of life.

The RNA world hypothesis posits that an early stage of life involved RNA acting as both information carrier and catalyst. Extant self-splicing introns (such as the Azoarcus ribozyme, which can catalyze its own self-assembly from ~50nt-long fragments) may provide a window into this ancient world.

The project aims to combine computational and experimental techniques to design new RNA self-replicators from group I introns and test whether they can evolve in vitro.

The collaboration partners are Philippe Nghe (ESPCI, Paris), Eric Hayden (Boise State University, USA) and Arati Ramesh (National Center for Biological Sciences, India) and their groups.

The ideal candidate will have some expertise in either bioinformatics, biophysics or machine learning and an ability to work creatively across disciplinary boundaries.

Funding is through HSFP Young Investigator Award RGY0077/2019.


Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

Further Info:
https://www.mis.mpg.de/
email
+49 (0) 341 - 9959 - 546
 
Inselstrasse 22, D-04103, Leipzig, Germany

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