[3dem] Post doctoral position

[Denis Chrétien]

Image Denoising, Segmentation and 3D Reconstruction in Cryo-Electron Microscopy

Position type: Post-doctoral Fellow Functional 
Location: Rennes, France 
INRIA research theme: Computation sciences for biology, medicine and the environnement 
Project: SERPICO
Surpervisors: Charles Kervrann (INRIA) and Denis Chrétien (CNRS)
Contact: charles.kervrann at inria.fr, denis.chretien at univ-rennes1.fr 

The work will be conducted in collaboration between the SERPICO (Space TimE RePresentation, Imaging and cellular dynamics of molecular Complexes / INRIA Rennes) team and the TIPs (Tubulin and Interacting Proteins / UMR 6026, CNRS University of Rennes 1) team. The main objective is to develop image processing methods and algorithms to facilitate the understanding of biological polymers (microtubules involved in cell division and vesicle trafficking) from cryo-EM microscopy images. The candidate will participate in an interdisciplinary project involving cell biologists, computer scientists, and applied mathematicians. He/She is expected to play a central role in creating and applying computational techniques to analyze cryo-EM imaging data, in close collaboration with experimentalists and modelers. 

Candidates should have a strong background in image processing and reconstruction methods, applied mathematics, computer science or related fields. Solid programming experience is required, especially in JAVA or in object-oriented programming (C/C++). Excellent collaborative skills will be appreciated. Previous experience with biology, biological imaging and/or microscopy is preferred but not required. 

We refer the candidate to the following websites for more information:
http://serpico.rennes.inria.fr/doku.php
http://www.umr6026.univ-rennes1.fr/english/home/research/tips/
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Université de Rennes 1
UMR 6026, équipe TIPs
Campus de Beaulieu, Bât. 13
35042 Rennes Cedex
France

Tel. +33 (0)2 23 23 67 64
http://www.umr6026.univ-rennes1.fr/
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