Title of the Project
“Modellizzazione multimodale dell’attività cerebrale con reti neurali ricorrenti” (in English: Multimodal modeling of brain activity with recurrent neural networks”), 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 general aim of the research fellowship is using recurrent neural networks to jointly model brain activity observed with several imaging modalities.
Activity: The research fellow will use machine learning techniques, based on recurrent neural networks, to model brain activity observed with different imaging modalities. The research fellow will (i) use numerical simulations to develop recurrent networks that can be trained with data at different spatio-temporal resolutions; (ii) use recurrent networks to model brain activity observed with different imaging modalities.
Profile: The ideal candidate should have: (a) experience in machine learning and possibly its use to model dynamic phenomena; (b) 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
