Project: TwinCaRT

Digital Twin for Personalized Care and Planning in Prostate Cancer Radiotherapy

Funding: PEPR Santé Numérique

Objectives

• Mechanistic Modeling: Enhance a 3D multiscale model to simulate tumor growth and the "5 R's of Radiobiology" at a cellular level
• Virtual-Real Synchronization: Develop algorithms to identify patient-specific biological parameters using longitudinal quantitative MRI (qMRI) data
• Clinical Integration: Utilize real-time data from MR-Linac platforms to update the Digital Twin during treatment

Required Profile

• Education: Master's degree in Biomedical Engineering, Applied Mathematics, Computational Physics, or Computer Science
• Technical Skills: Strong programming skills (C++, Python), experience in mechanistic/mathematical modeling or stochastic simulations (Monte Carlo)
• Knowledge: Optimization algorithms, data fusion, Medical Imaging (MRI/qMRI), image processing
• Soft Skills: High autonomy, scientific curiosity, ability to work in multidisciplinary environments
• Language: Fluency in English; French is a plus

Position Details

Location: LTSI (Laboratory of Signal and Image Processing), Inserm U1099, Rennes, France

Duration: 36 Months

Consortium: LaTIM, EURECOM, CREATIS, ICO Nantes, HCL Lyon, Centre Eugène Marquis

Industrial Partner: Dassault Systèmes

Apply

Send your CV, motivation letter, and academic transcripts to:

Oscar Acosta (oscar.acosta@univ-rennes.fr)

Project: TARGETMR

Biological Adaptation of Radiotherapy Treatments via Quantitative MRI on MR-Linac

Funding: PEPR Santé Numérique (co-funded with Brittany Region - ARED)

Objectives

• Sequence Development: Develop new quantitative MRI sequences acquired during treatment sessions
• Biological Feature Extraction: Extract specific biological characteristics of the tumor from images
• Digital Twin Integration: Integrate biological data (such as hypoxia) into a multi-scale Digital Twin to adapt treatment
• In Silico Optimization: Use the Digital Twin to simulate treatment outcomes and optimize therapeutic ratio

Required Profile

• Education: Master's degree in Biomedical Engineering, Applied Mathematics, Computational Physics, or Computer Science
• Technical Skills: Knowledge of quantitative MRI and image processing, interest in mechanistic modeling and in silico simulations
• Knowledge: Radiotherapy principles and medical imaging workflows
• Soft Skills: Ability to work in multidisciplinary environments (clinical and research)
• Language: Fluency in English; French is a plus

Position Details

Location: Centre Eugène Marquis/LTSI, Inserm U1099, Rennes, France

Duration: 36 Months

Consortium: LaTIM, EURECOM, CREATIS, ICO Nantes, HCL Lyon, Centre Eugène Marquis

Industrial Partner: Dassault Systèmes

Apply

Send your CV, motivation letter, and academic transcripts to:

Renaud de Crevoisier (r.de-crevoisier@rennes.unicancer.fr)
Anais BARATEAU (a.barateau@rennes.unicancer.fr)
Oscar Acosta (oscar.acosta@univ-rennes.fr)