Trustworthy And Explainable Artificial Intelligence For Harmonization And Analysis Of Medical Imagin

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Organisation/Company Universit e0 degli Studi di Catania Research Field Information science Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 27 Aug *********:59 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme?
Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?
No
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Offer Description
The research activity focuses on the development of advanced Artificial Intelligence methods for
harmonization, analysis, and interpretation of
heterogeneous medical imaging and clinical data related to neurodegenerative diseases.
The work will address preprocessing,



domain adaptation, and multimodal learning techniques aimed at reducing variability across acquisition protocols, devices, and clinical centers.
Deep learning models for segmentation, classification, and clinical decision support will be developed, with particular emphasis on Explainable AI, Trustworthy AI, robustness, fairness, and uncertainty quantification.
xysqume The proposed solutions will be validated on real multicenter
datasets to promote the adoption of reliable,
transparent, and transferable AI systems for healthcare and clinical research.
Italy
Eligibility of fellows: country/ies of residence:
EUROPE
Eligibility of fellows: nationality/ies:
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Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7cxdq5