Topic: Development of inhomogeneous Magnetization Transfer (ihMT) for short T1D–components MR Imaging – Application on the Purkinje network of the Cardiac Conduction System (CCS)
Qualifications: We are looking for a motivated candidate with a PhD in biomedical engineering, medical imaging, MR physics or
related topic. Prior experience with numerical simulations, MRI techniques developments would be advantageous. Good
writing and communication skills in English are required. The successful candidate will work in the ihMT team of CRMBM
composed of two senior scientists and a PhD student and in collaboration with the team
of IHU Liryc, Bordeaux University (PI: Julie Magat), our partner in this project. The
duration of the project (ANR funding) is 12 months (+12 months renewable) with a salary
and benefits corresponding to usual Aix–Marseille University conditions.
How to apply?
Interested candidates should send their detailed CV and a cover letter by email to the attention of
Guillaume Duhamel (guillaume.duhamel@univ–amu.fr ), and Olivier Girard (olivier.girard@univ–amu.fr)
Details can be found in this document: Postdoc_ihMT_CCS-Marseille-FRANCE
Autres offres d'emploi
Retour à la listeMANIPULATEUR IRM RECHERCHE CLINIQUE F/H
Le Centre d'Exploration Métabolique par Résonnance Magnétique recherche un.e manipulateur.trice pour compléter son équipe . Poste APHM en 39h / semaine du lundi au vendredi. Travail exclusivement en IRM, équipe de 3 manipulateurs.
Post-doctoral position available in Neuroimaging and Non-Invasive Deep Brain Stimulation
Join the CRMBM in Marseille as a postdoctoral researcher in neuroimaging and non-invasive deep brain stimulation. This position is part of the NAUTILUS project, exploring innovative approaches to brain stimulation by combining fMRI with cutting-edge modeling to better understand and target deep brain structures. You’ll work within a highly interdisciplinary environment, collaborating closely with teams at Institut de Neurosciences des Systèmes led by dr. Viktor Jirsa and contributing to the development of next-generation virtual brain technologies.
