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experimentation of novel deep learning models, both unimodal and multimodal, with the aim of understanding and predicting processes and dynamics in complex fields such as artificial vision and signal processing
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and techniques for the analysis of graph-based process models, considering both the characteristics of the activities involved and the resources available within the organization to support their
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-prognostic data and molecular profiles; identifying and validating diagnostic, prognostic and predictive biomarkers for risk stratification and therapeutic decision-making; applying updated classification and
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, funded by INAIL through the 'BRiC-2025' call, and will focus on the development of Artificial Intelligence (AI) models for automated anomaly detection in energy and industrial systems and structures, fault
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE MEDICHE E CHIRURGICHE | Italy | about 2 months ago
and functionally characterized and validated in advanced 2D and 3D tumor models by assessing antitumor activity, receptor-mediated internalization, tumor penetration, and cell death mechanisms
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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 3 months ago
and Learning Platform (WP4). The activity addresses statistical bias and representational unfairness that arise when training predictive models over federated clinical data with heterogeneous
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to estimate and predict the parameters of interest characterizing the agri-food matrices. Where to apply Website https://pica.cineca.it/ Requirements Research FieldAgricultural sciences » OtherEducation
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aims to develop a precision medicine pathway for glioblastoma by integrating clinical, radiological, molecular, multi-omics, imaging, and liquid biopsy data. Predictive and prognostic models based
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activity concerns the development and validation of advanced numerical models for multiphysics simulations of high-pressure combustion, with space propulsion and Liquid Rocket Engines (LRE) as reference
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. For more information about the RNA Technologies Flagship, visit: https://rna.iit.it/ The project aims to develop a new generation of artificial intelligence models to systematically investigate the role