2026_IR_05_DIBIO Notice direct award n.1 Research Assignment AIRC IG 2023 -ID 29071- entitled

Updated: 3 months ago
Deadline: 09 Feb 2026

29 Jan 2026
Job Information
Organisation/Company

Università degli Studi di Padova
Research Field

Biological sciences » Biology
Researcher Profile

Recognised Researcher (R2)
Leading Researcher (R4)
First Stage Researcher (R1)
Established Researcher (R3)
Application Deadline

9 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?

Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

The candidate will analyse digital pathology data from multisite ovarian tumor samples. The information extracted from the images will be correlated with molecular (genomic and transcriptomic) and clinical variables to assess their predictive potential. Additionally, the study aims to characterize molecular variability both within individual patients and across different patients.


Where to apply
Website
https://pica.cineca.it/

Requirements
Additional Information
Eligibility criteria

Eligible destination country/ies for fellows:

  • Italy

Eligibility of fellows: country/ies of residence:

  • OTHER

Eligibility of fellows: nationality/ies:

  • OTHER

Website for additional job details

https://protocollo.unipd.it/albo/viewer

Work Location(s)
Number of offers available
1
Company/Institute
Università degli Studi di Padova
Country
Italy
Geofield


Contact
City

Padova
Website

https://www.unipd.it/
https://pica.cineca.it/unipd/2026-ir-05-dibio/domande/

STATUS: EXPIRED

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