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The project at Università di Pavia integrates biomolecular and phenotypic analysis, including cytotoxicity and cell proliferation assays, immunoassays (ELISA/Western Blot), flow cytometry, and gene expression analysis (qPCR/RNA-Seq). It combines High-Content Imaging with AI-driven data analysis to study pathogenetic mechanisms in cancer and identify biomarkers for precision medicine.
Open to Italian or foreign candidates who hold a master’s degree or single-cycle degree completed within the last
Organisation/Company Università di Pavia Research Field Medical sciences Biological sciences Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 25 Nov 2026 - 12:00 (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
The project integrates various biomolecular and phenotypic analysis methodologies, including cytotoxicity and cell proliferation assays, immunoassays (ELISA/Western Blot), flow cytometry, and gene expression analysis (qPCR/RNA-Seq), and in particular High-Content Imaging and Analysis, which combine automated microscopy with advanced AI-driven data analysis to capture and extract phenotypic information from complex cellular systems. By applying these techniques to the study of pathogenetic mechanisms in cancer, the project will enable the rapid and integrated evaluation of the response of complex cellular models and organoids to molecules and drugs, immunomodulation, and phenotypic alterations, allowing functional studies and the identification of new therapeutic targets and biomarkers for precision medicine.
The public call with detailed attendance and selection rules (Art 4 and 6) can be found at: https://pica.cineca.it/unipv/tipologia/idr
The selections are open to candidates, Italian or foreigner, in possession, on the date of the deadline for submitting applications for the admission to the selection, of a master's degree or single-cycle, degree obtained no more than six years previously are eligible to participate in the selection process. These degrees must be relevant to the subject of the research activity.