Dynamic Tissue Patterning: Theory & Computation

THE FRANCIS CRICK INSTITUTE LIMITED; Greater London; On-site; GBP 18,000 - 24,000; Full time

Job summary

The Francis Crick Institute in London hosts a Crick PhD project led by Zena Hadjivasiliou, focusing on patterning in dynamic environments. The project aims to build theoretical models that couple tissue dynamics with morphogen signalling, guided by experimental observations and collaborations.

The student will develop techniques in HPC, numerical methods for ODEs/PDEs, and machine learning to interpret data and predict tissue-level emergent properties such as robustness and scaling.

Qualifications

• Background in mathematics, physics, computer science, engineering or related discipline.
• Strong interest in bridging physics, computational and mathematical biology, developmental and evolutionary biology.
• Some experience in computational coding is strongly encouraged.

Responsibilities

• Collaborate with experimental colleagues and work directly with experimental data.
• Develop theoretical frameworks to predict tissue growth, cell movement and morphogen interpretation.

Skills

Mathematics

Physics

Computer science

Engineering

Biology interest

Computational coding

Tools

High Performance Computing

Machine Learning

ODE/PDE solvers

Job description

The Francis Crick Institute in London hosts a Crick PhD project led by Zena Hadjivasiliou, focusing on patterning in dynamic environments. The project aims to build theoretical models that couple tissue dynamics with morphogen signalling, guided by experimental observations and collaborations.

The student will develop techniques in HPC, numerical methods for ODEs/PDEs, and machine learning to interpret data and predict tissue-level emergent properties such as robustness and scaling.