MSCA Doctoral Network “Innovative Radiation Therapy for Brain Tumours
Pubblicato il 02-10-2026 - Altro in Roma
Organisation/Company University of Florence Department chemistry Research Field Chemistry » Other Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 8 Nov 2026 - 20:00 (Europe/Rome) Country Italy Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Feb 2027 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No
Offer Description
This doctoral network develops next-generation radiotherapy strategies for glioblastoma (GBM) by integrating: FLASH radiotherapy, Minibeam radiation, Targeted alpha therapy (TAT), Radio-immunotherapy. Doctoral candidates will work in a multidisciplinary environment spanning chemistry, physics, biology, immunology, engineering and clinical translation.
Key research themes include:
Fighting radioresistance, infiltration and immunosoppression
Enhancing the efficacy of innovative RT through immunotherapy
Optimising the use of innovative RT for brain tumours
Doctoral Candidates will vantaggi from a rich, multidisciplinary training environment, with opportunities to collaborate with industrial partners, contributing to cutting-edge research with real-world applications.
Selected candidates will engage in multidisciplinary research, participate in international secondments across academic and industrial settings, and contribute to high-impact publications and conferences.
PhD Project 11 : Computational analysis of integrated multi-omics data
Host : Chemistry Department, University of Florence, Florence, Italy
PhD School : Structural Biology at University of Florence
Project focus: Development of computational pipelines to integrate multi-omics datasets and identify biomarkers of radiotherapy response.
A 5-year degree (Master's degree) in Physics, Biophysics, Chemistry, Bioinformatics, Biotechnology, Data Science, Machine Learning, or related disciplines (o