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Pasquale Ciarletta

3 weeks ago

Postdoctoral Position in Mathematical Oncology at Politecnico di Milano Politecnico di Milano in Italy

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral position; funding details, salary, and contract length are not specified in the post.

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Country

Italy

University

Politecnico di Torino

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Keywords

Computer Science
Biomedical Engineering
Cancer Biology
Biology
Mathematics
Computational Science
Medical Science
Multiscale Modeling
Data-driven Modeling
Pde
Physics

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About this position

Postdoctoral Position in Mathematical Oncology at Politecnico di Milano, Milan, Italy.

The group of Pasquale Ciarletta is seeking one highly motivated postdoctoral researcher to work on mathematical and computational approaches to cancer research. The project focuses on mechanistic and data-informed models of tumour dynamics, with research at the interface of applied mathematics, computational science, and cancer biology.

Research themes include partial differential equations, multiscale modelling in living matter, numerical analysis of PDEs, scientific computing, scientific machine learning, and physics-informed methods. The work will address problems in mathematical oncology and cancer mechanobiology, combining mathematical modelling, numerical simulations, and experimental data in a strongly interdisciplinary setting with experimental collaborators.

Eligible candidates are encouraged to apply if they hold a PhD in Mathematics, Physics, Engineering, Computational Science, or a related field. A strong background in the listed modelling and computational areas is particularly relevant.

This is a postdoctoral opening; the post does not specify stipend, contract duration, or a formal deadline. Interested candidates should contact the professor directly for next steps.

Funding details

Postdoctoral position; funding details, salary, and contract length are not specified in the post.

What's required

Applicants should have a PhD in Mathematics, Physics, Engineering, Computational Science, or a related field. Strong background in partial differential equations, multiscale modelling in living matter, numerical analysis of PDEs and scientific computing, or scientific machine learning and physics-informed methods is preferred. Candidates should be highly motivated and able to work in an interdisciplinary environment with experimental collaborators.

How to apply

Interested candidates should contact Pasquale Ciarletta directly. The post does not provide a formal application portal or deadline.

More information can be found here

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