Physics-Informed Digital Twins for Breast Cancer Invasion

Italian Ministry of Education, University and Research; Italia; On-site; EUR 50,000 - 70,000; Full time

Job summary

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.

Qualifications

• Develop physics-informed digital twins for quantitative cancer assessment.
• Work on mechanistic tumour growth and invasion models with experimental data.

Responsibilities

• Design and implement digital twin frameworks for breast cancer invasiveness.
• Integrate data from in vitro multicellular systems with theoretical models; perform uncertainty quantification.

Skills

Mathematical modelling

Biophysics

Data assimilation

Scientific programming

Job description

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.