Physics-Informed Digital Twins for Breast-Cancer Invasiveness Scoring - 2026_CDR_DMAT_1

id="offer-description" class="ecl-u-type-heading-2 ecl-u-mt-none ecl-u-mb-l">Offer Description The research programme aims to develop physics-informed digital twins for the quantitative assessment of breast-cancer invasiveness. The activity will integrate mechanistic models of tumour growth and invasion with experimental data obtained from in vitro multicellular systems. Particular attention will be devoted to tumour–microenvironment interactions, including active wetting, tissue remodelling, adhesion, friction, traction and cell migration. The physical matematical models will be used to identify latent biomechanical parameters, such as surface tension, viscosity, active stresses, adhesion and friction properties. Physics-informed surrogate models will also be developed to accelerate simulations and parameter identification. The framework will incorporate data assimilation and uncertainty quantification. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 . Requirements. Additional Information . Eligibility criteria. Quality, originality, and innovation of the research proposal, with reference to the research program covered by this selection (up to 15 points). Relevance and significance of previous research activities and professional experience in relation to the research program (up to 40 points). Relevance and significance of submitted publications with respect to the research program (up to 30 points). Interview, aimed at ass