Title of the Project
“Analisi e modellizzazione multimodale dell’attività cerebrale” (in English: “Multimodal analysis and modeling of brain activity”), Research Supervisor Prof. Samir Simon Suweis
Purpose of the Research Grant
The purpose of this Research Grant, which is funded by the European Union – NextGenerationEU – through MUR PNRR fundings in the framework of the project MNESYS “A multiscale integrated approach to the study of the nervous system in health and disease” – PE00000006, Missione 4 “Istruzione e ricerca”, Componente 2 “Dalla ricerca all’impresa”, Investimento 1.3 “Creazione di Partenariati Estesi alle università, centri di ricerca, alle aziende per il finanziamento di progetti di ricerca di base”, M4C2 Spoke 2, CUP: B83C22004960002, is to grant research into:
The global aim of the research fellowship is developing data analysis and modeling strategies to integrate multimodal neuroimaging data within a common framework.
Activity: The research fellow will work with pre-processed multimodal data (MRI,fMRI,(i)EEG) from healthy subjects and neurological patients, and will contribute to the acquisition of new multimodal data. The research fellow will (i) develop an automatic procedure to pre-process and analyse data from different sources in a common reference space; (ii) develop a procedure to estimate and compare functional connectivity (FC) obtained with different functional data; (iii) train whole-brain models, in particular to consistently reproduce essential features of multimodal data (e.g. FC).
Profile: The ideal candidate should have: (a) experience in analysing brain activity data; (b) experience in modelling brain activity; (c) advanced data analysis and programming skills in Python/Matlab.
Deadline for submitting applications
13 September 2024 at 1:00 pm CEST
Guidelines for Submitting Applications
Decree of Acts Approval and Ranking
