Pica Code: IR-. Artificial intelligence methods multimodal data integration

Position: Pica Code: IR-2026-010. Artificial intelligence methods for multimodal data integration in High[...]
Organisation/Company UNIMORE Research Field Engineering » Computer engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Final date to receive applications 24 Feb 2026 - 13:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure?

No
Offer Description
The activity covered by the assignment consists of the development of artificial intelligence methodologies for the integrated analysis of digital histopathology, genomic and clinical data, aimed at predicting response to chemotherapy treatments in ovarian cancer (HGSOC).The Objectives of the assignment include the design and implementation of models based on Transformer and statespace architectures (Mamba) for representation learning from Whole Slide Images and molecular data, as well as the development of data integration strategies addressing missing modalities (partial absence of one or more data sources) for the modelling of clinically relevant response indicators, such as sensitivity to platinum-based chemotherapy and pathological treatment response scores.

(omissis)
Italy
Eligibility of fellows: country/ies of residence:
OTHER
Eligibility of fellows: nationality/ies:
OTHER
Selection process
public selection procedure based on qualifications and interview
Contact phone: 059/--6447
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