Title: Machine learning for studying structural and functional connectivity of the brain
Topics: machine learning, brain connectivity, diffusion MRI, Magnetoencephalography (MEG), longitudinal studies and human cognition
Description: Neuroimaging methods, like sMRI, dMRI, fMRI and MEG/EEG can be used to investigate the anatomical and functional connectivity of the brain. This project will enable the candidate to pursue research on machine learning methods for such neuroimaging data for brain connectivity, with applications to longitudinal studies and to human cognition. The ideal candidate should have a mixed background both in cognitive neuroscience and numerate disciplines, like computer science, engineering, physics or mathematics. This project is in collaboration with the Division of Neurosurgery, S. Chiara Hospital, Trento and with the MEG Lab of CIMeC/LNiF, University of Trento.
Deadline: May 21, 2019
Online application details below.
Corresponding research area in the online application: NEUROIMAGING METHODS AND ANALYSIS
Topic-Specific Grant: "4. Machine learning for studying structural and functional connectivity of the brain."
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Subject: [CIMeC-FYI] Call for 17 funded PhD positions NOW OPEN @ CIMeC, UNITrento. Italy
Dear CIMeC Supporters,
We are pleased to announce the opening of our annual call for 17 PhD fellowships for the international Doctorate in Cognitive and Brain Sciences (CIMeC), commencing November 2019 at the University of Trento, Italy. As you will see from the links below, the call is open to several fields of cognitive neuroscience research.
Interested candidates should contact the Principle Investigators who proposed topics of interest to them.
The CIMeC, it’s doctoral program and UNITN in numbers:
Please feel free to browse the FAQ pages on our website for further information, or contact the Head of the Programme, Prof. Yuri Bozzi phd.cimec@unitn.it.
Regards,
Leah Mercanti
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Leah Mercanti
CIMeC PhD Program Administrator
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CIMeC - Center for Mind/Brain Sciences
University of Trento
Corso Bettini, 31
I-38068, Rovereto (TN)
Tel: +39 0464 80 8617
Fax: +39 0461 28 8690