Physics-Informed Digital Twins for Breast Cancer Invasion
Politecnico di Milano invites applications for researchers to develop physics-informed digital twins for the assessment of breast-cancer invasiveness. The project integrates mechanistic models of tumour growth with experimental data from in vitro multicellular systems.
Focus areas include tumour–microenvironment interactions, data assimilation and uncertainty quantification. English language skills and international collaboration are relevant to the role.
Focus areas include tumour–microenvironment interactions, data assimilation and uncertainty quantification. English language skills and international collaboration are relevant to the role.