[FieldTrip] Open positions at INS, Marseille. France

[Jean-Michel Badier]

  /Post-doctoral position in the Theoretical Neuroscience Group - INS,
  Marseille, France/

*Summary*

The Theoretical Neuroscience Group (Head: Viktor Jirsa) is seeking to 
fill a post-doctoral position in the context of the project EPINOV to 
work on statistical & dynamical modeling of seizure propagation using 
personalized brain modeling and neuroinformatics approaches on a cohort 
of hundreds of epilepsy patients. EPINOV is one of 10 large-scale 
projects selected in the 3rd round of French scientific excellence 
program «RHU» managed by the National Research Agency (ANR). The aim of 
the EPINOV project is to significantly improve presurgical 
interpretation, guide surgical strategies and translate computational 
tools into clinical routine of personalized medicine. We use individual 
MRI scans to reconstruct brain anatomy and connectivity, which are 
combined with a neural mass model and fit using the Bayesian modeling 
software Stan to individuals’ intracranial electrophysiology data 
(stereotactic EEG), validated by clinical data from other modalities, 
such as MEG, fMRI, and semiology.

*Responsibilities*

• Scale up statistical models “vertically” to handle more data and 
higher resolution anatomy, using model comparison techniques to evaluate 
the advantage of different model structures

• Scale out models “horizontally”, performing coherent, reliable 
inference across a large cohort of patients using dedicated, on-site HPC 
resources

• Develop routines to evaluate and visualize inference results, making 
them amenable to clinical interpretation

• Integrate developed code into existing code bases and pipelines

*Qualification *

• Highly motivated to work on an interdisciplinary project and 
collaborate with the various members of the consortium.

• PhD degree in computational neuroscience, mathematical or statistical 
modeling, machine learning or equivalent level of knowledge.

• Significant, demonstrable experience in data fitting (Bayesian 
modeling, Dynamical Causal Modeling (DCM), Monte Carlo, etc) will be 
highly appreciated.

• Experience with working in a Linux/HPC environment

• Programming in a numerically oriented language (R, Python, MATLAB)

• Familiarity with Git, unit testing, Docker/VMs is a plus

*The Theoretical Neuroscience group *

We are a multi-national team interested in understanding the mechanisms 
underlying the spatiotemporal organization of large-scale brain 
networks. Our work comprises mathematical and computational modeling of 
large-scale network dynamics and human brain imaging data, the 
development of neuroinformatics tools for studying large-scale brain 
networks applied to concrete functions, dysfunctions (epilepsy, 
dementia) and aging.

*Terms of salary and employment *

A 12-month renewable contract will be established. Salary will depend on 
the diploma and experience. Operating language in the laboratory is 
English. Applications including a cover letter, curriculum vitae and the 
names of two referees should be sent by September 30th 2017 to: Dr. 
Irene Yujnovsky at irene.yujnovsky at univ-amu.fr 
<mailto:irene.yujnovsky at univ-amu.fr>

More information about the INS and the Theoretical Neurosciences Group 
can be found at: http://ins.univ-amu.fr <http://ins.univ-amu.fr/>


<http://ins.univ-amu.fr/>


<http://ins.univ-amu.fr/>


<http://ins.univ-amu.fr/>*Clinical data manager for national consortium 
on epilepsy surgery - **Aix-Marseille Université *

*Marseille, FRANCE*

**

**

A position for an experienced clinical data manager is open to create 
and maintain an epileptic patient database including registration, 
normalization and security issues and to ensure the communication with 
the key partners in the academic, clinical and industry sectors with the 
aim of generating individual Virtual Patient models using The Virtual 
Brain (TVB) platform as framework (see 
http://www.thevirtualbrain.org).//This database will be generated in the 
context of the EPINOV (/Improving EPilepsy surgery management and 
progNOsis using Virtual brain technology) /projectled by Professor 
Fabrice Bartolomei 
(http://fr.ap-hm.fr/service/neurophysiologie-clinique-hopital-timone) 
funded by the RHU programme.

*Qualification*

**

Candidates must be highly motivated to work on an interdisciplinary 
project and collaborate with the various members of the consortium. They 
should have a degree in biomedical engineering, medical informatics or 
equivalent level of knowledge. Candidates must possess a solid 
experience in management of clinical and/or research data and 
programming (C, MATLAB, Python). Experience with neuroimaging data 
(stereotactic EEG, MRI, DTI, MEG, EEG), clinical trials, 
neuroinformatics and its standard formats (for instance DICOM, XNAT, 
BIDS), machine learning and Big Data would be considered an advantage.

*The EPINOV project and consortium *

We are a national consortium composed of clinicians, researchers and 
industrial partners interested in improving epilepsy surgical prognosis 
using large–scale brain modelling based on individual epileptic patient 
data. A prospective, randomized multicenter trial will be conducted with 
subjects suffering from drug-resistant epilepsy. The clinical trial will 
systematically evaluate the added value of personalized brain modelling 
in the surgical decision making.

*Terms of salary and employment*

Salary will depend on the diploma and previous experience. Operating 
languages in the consortium are both French and English.

Applications including a cover letter, curriculum vitae and the names of 
two referees should be sent by October 31st 2017 to: *Dr. Irene 
Yujnovsky* at irene.yujnovsky at univ-amu.fr 
<mailto:irene.yujnovsky at univ-amu.fr>


-- 
Jean michel Badier /- UMR S 1106 Institut de Neurosciences des Systèmes/
Aix-Marseille Université - Laboratoire MEG - TIMONE - 27 Boulevard Jean 
Moulin - 13005 Marseille
Tél: +33(0)4 91 38 55 62 - Fax : +33(0)4 91 78 99 14
Site : http://www.univ-amu.fr - Email : jean-michel.badier at univ-amu.fr 
<mailto:jean-michel.badier at univ-amu.fr>
/Afin de respecter l'environnement, merci de n'imprimer cet email que si 
nécessaire./
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