Post Doctoral Position

France Life Imaging; Bordeaux; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

Une unité de recherche pluridisciplinaire à Bordeaux propose un poste de Post Doctorant pour un projet sur l'analyse de la connectivité cérébrale. Le candidat devra développer un atlas cortical probabiliste et étudier les variations cérébrales sur une large base de données. Cette position, destinée à un PhD en neurosciences ou domaine similaire, offre un environnement de recherche dynamique et innovant.

Qualifications

• PhD requis dans un domaine pertinent.
• Expérience avec des outils d'analyse d'imagerie nécessaires.
• Connaissances en programmation (MATLAB) requises.

Responsabilités

• Implémenter un atlas cortical probabiliste.
• Analyser la variabilité inter-individuelle de l'organisation cérébrale.
• Travailler avec la base de données BIL&GIN.

Connaissances

Analyse des données d'imagerie neuro

Traitement d'images

Programmation (MATLAB)

Formation

PhD en analyse neuro-image, neurosciences cognitives ou domaine connexe

Outils

SPM

FSL

Freesurfer

Description du poste

Type de structure : The Neurofunctional Imaging Group (GIN) is a CNRS-CEA joint research unit of the Bordeaux University (UMR 5296, dir. Bernard Mazoyer) and a core member of the TRAIL Laboratory of Excellence. The GIN is a multidisciplinary research unit gathering scientists with initial training in mathematics and instrumentation, cognitive neurosciences, signal processing and databasing.

One objective of the current GIN research project is to develop new tools to characterize and describe the gray matter anatomical connectivity networks. Within this area we have a position for a 2 years Post Doc.

Contexte et mission : Recent work on brain connectivity modeling revealed that the topographic organization of this connectivity is not limited to large-scale anatomical pathways generally observable in diffusion MRI, thus reinforcing the interest of studies focusing on the characterization of cortical structural connectivity and its variability. Therefore, the estimation of relevant grey matter connectomes strongly relies on the choice of an ad'hoc cerebral parcellisation.

We propose a post doc project to first implement a probabilistic cortical atlas derived from cortical parcellisations defined individually to optimally extract cortical thickness and volume of each individual. The second aim of the post doc project is to compute cortical structural connectivity to quantify the inter-individual variability of brain organization together with the effects of specific factors such as gender, manual preference, functional lateralization or cognitive skills. The strength of the present project is that it will benefits from the already acquired BIL&GIN database composed of 453 healthy volunteers balanced for gender and handedness. Hence, the first probabilistic cortical atlas will be operated over a large sample, the 453 participants having been previously pre-processed.

Lieu : Job location is in Bordeaux, France

Diplômes requis : The qualified applicant should have a PhD in neuro-image analysis, cognitive neuroscience, computer science or related field and a background in neuroimage processing

Compétences requises : Applicants should have experience with existing tools for analysis of neuroimaging data (SPM, FSL, Freesurfer.) and a relevant programming experience (MATLAB).For further information, please contact Dr. Fabrice Crivello (fabrice.crivello[at]u-bordeaux2.fr).

Contact : . Interested candidates should send their applications including CV with full publication list, the names and contact information and a summary of research interests to fabrice.crivello[at]u-bordeaux2.fr.