Computational modeling of brain network stimulation
Inria
il y a 8 jours
Date de publicationil y a 8 jours
S/O
Niveau d'expérienceS/O
Temps pleinType de contrat
Temps pleinSystèmes d'information / RéseauxCatégorie d'emploi
Systèmes d'information / RéseauxMission confiée
The NERV Lab is a multidisciplinary research team supported by the French institutions Inria , Inserm , CNRS , and Sorbonne University. The team is located in the Paris Brain Institute ( ICM ) within the Pitie-Salpetriere hospital, one of the largest European medical centers.
The NERV Lab pursues an innovative research program at the intersection between biomedical engineering, complex systems and clinical neuroscience. Our ambition is to better understand the structural and functional organization of the human brain in health and disease.
To this end, we propose new computational frameworks to analyze and model the spatiotemporal complexity of brain networks from multimodal and longitudinal neuroimaging data, and we design noninvasive intervention strategies based on brain-computer interfaces.
Principales activités
In the context of the research conducted by the NERV team we seek for motivated individuals to develop a pipeline based on low-dimensional controllability to identify the driver nodes from structural connectomes in stroke patients.
The ideal candidate should have a background (M2) in biomedical engineering. Experiences with neuroimaging experiments is also welcome. English is mandatory.
Avantages
The NERV Lab is a multidisciplinary research team supported by the French institutions Inria , Inserm , CNRS , and Sorbonne University. The team is located in the Paris Brain Institute ( ICM ) within the Pitie-Salpetriere hospital, one of the largest European medical centers.
The NERV Lab pursues an innovative research program at the intersection between biomedical engineering, complex systems and clinical neuroscience. Our ambition is to better understand the structural and functional organization of the human brain in health and disease.
To this end, we propose new computational frameworks to analyze and model the spatiotemporal complexity of brain networks from multimodal and longitudinal neuroimaging data, and we design noninvasive intervention strategies based on brain-computer interfaces.
Principales activités
In the context of the research conducted by the NERV team we seek for motivated individuals to develop a pipeline based on low-dimensional controllability to identify the driver nodes from structural connectomes in stroke patients.
The ideal candidate should have a background (M2) in biomedical engineering. Experiences with neuroimaging experiments is also welcome. English is mandatory.
Avantages
- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
- Possibility of teleworking (after 6 months of employment) and flexible organization of working hours
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural and sports events and activities
- Access to vocational training
- Social security coverage
RÉSUMÉ DE L' OFFRE
Computational modeling of brain network stimulation
Inria
Paris
il y a 8 jours
S/O
Temps plein
Computational modeling of brain network stimulation