Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA
- ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE DELL'EDUCAZIONE
- CNR/IPCF
- Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova
- Libera Università di Bolzano
- Luiss Guido Carli
- Università degli Studi di Firenze
-
Field
-
ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE DELL'EDUCAZIONE | Italy | 5 days ago
18 Sep 2026 Job Information Organisation/Company ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE DELL'EDUCAZIONE Research Field Educational sciences Researcher Profile
-
to develop algorithms, metrics, efficient software and visualization tools for the analysis of complex systems with higher-order interactions. The activity will focus on scalable computational methods
-
data acquired by mobile road monitoring systems using heterogeneous sensors, such as images, laser profilometers, GPS, and audio data, will integrate machine learning, computer vision, and image analysis
-
document and policy analysis, qualitative interviews, collection of narrative and visual material, and mapping of territorial representations; and qualitative data organisation, coding and analysis
-
Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 3 months ago
activity focuses on the development of advanced tools for the visualization and interpretation of multilayer networks derived from complex biological data. The project emphasizes the integration of visual
-
analysis and developing advanced data interpretation methods, SPACE-MEL aims to unlock deeper insights into cellular organisation and disease mechanisms. The network will train 15 Doctoral Candidates through
-
ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Italy | 2 months ago
based on the project's data model. This will be followed by an analysis of the state of the art in Large Language Models, computer vision, and multimodal approaches, with particular attention to hybrid