Latest news

The Centre de Résonance Magnétique des Systèmes Biologiques (UMR5536 and TRAIL CorePartner) offers training sessions into the Physics Basics of MRI over the course of 5 days (1 session in June and 1 session in November). There is still one spot left for the November 2018 session (November 12th-16th, 2018). Registration to the two sessions of next year (June 3rd-6th, 2019 and November 4th-11th, 2019) are open as well.

The annual TRAIL reporting campaign has now started. Each TRAIL project leader is asked to fill-in the reporting form and to send the completed folder to Jean-François Bauger and Helene Katz before November 20th, 2018 latest. This data is gathered to valorise TRAIL projects to the ANR and partners, as well as in communication documents such as the activity report, the website, the TRAIL presentation brochure and during TRAIL events.

The third edition of the Congrès National d'Imagerie du Vivant - CNIV 2019 will take place on February 5th-6th, 2019 at the Institut du Cerveau et de la Moelle épinière (ICM) in Paris. Four...

EATRIS and NeurATRIS are launching a series of webinars on Neuroimaging in November 2018 (November 6th, 20th, and 27th). The series will cover the usage of CEST-MRI, optical imaging and PET imaging in neurodegenerative diseases and their potential application in translational medicine. All webinars will take place from 14:00-15:00 CET, are free of charge, and include an audience Q&A session. They will be recorded and available for later viewing. More information and registration at this link.

The 4th congress of the Société française de résonance magnétique en biologie et médecine (SFRMBM) will be held March 19th-21st, 2019 at the Hôtel du département du Bas-Rhin in Strasburg. The...

The LaBRI is offering a 12-months engineer position (rewenable) on "Development and maintenance of a software platform for brain MRI processing" under the supervision of Floréal Morandat and...

The LaBRI is offering a 4-6 months internship position (March-July 2019) on "Towards BigData in Neuroscience: Deep learning for segmentation of anatomical structure" under the supervision of Pierrick...