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Offre n°313 : Postdoc position in Neurospin


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  • Type d'offre : 1 year position with up to 4 years possible extension
  • Ville : Paris (France)
  • Statut : recrutement en cours
Date d'arrivée à l'ITMO : Jeudi 13 Décembre 2018
Modelling the variability of the cortical folding pattern using deep learning
Postdoc position in Neurospin, Paris area, France


Description:

There are more than seven billion humans alive today, who have both unique fingerprints and unique cortical folding patterns.

Nobody knows whether the variability in these cortical folding patterns has a meaning, or even where these patterns, which appear in utero, come from.

Today, millions of brains have been digitized using magnetic resonance imaging (MRI), thus creating a valuable opportunity.

For the last 25 years, the image analysis lab of Neurospin has been developing a research program aiming at modelling the normal variability of the cortical morphology.

A key output of this research program is a pipeline performing automatic recognition of the cortical sulci from a standard 3D MRI.

This pipeline distributed to the community (http://brainvisa.info) has been applied to over 50000 subjects for various purposes (morphometry, biomarker research, etc.).

Our first experiments with deep learning have shown that several aspects of the program could benefit from this technology.

Applications are invited for a postdoctoral position mainly dedicated to CNN-based supervised and unsupervised learning.

Commitment is expected for a year, with a possible extension of up to 3 additional years, in the context of the human brain project (https://www.humanbrainproject.eu/en/)


Requirements:

The position is open to candidates with a background in data/image processing and/or machine/deep learning.

Experience in neuroimaging is a plus, but not required.

A record of peerreviewed journal publications is strongly recommended.

Research Center – Neurospin is located in the suburb of Paris.

It is a multidisciplinary neuroimaging research center gathering about 180 research fellows with a wide variety of research programs (MR physics, computer science, cognitive neurosciences, clinical research, etc.).

For instance, the physicists at the origin of the CERN magnets, are developing an Extreme High Field 11.7 MRI for humans.

While this outstanding scanner is a flagship, the center hosts multiple other instruments, which is leading to a sparkling research ecology that allowed Neurospin to be the nest of Scikit-learn (http://scikit-learn.org/), one of the most famous machine learning software.


Contacts:

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