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We have 37 Applied Mathematics (python) PhD Projects, Programmes & Scholarships

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Applied Mathematics (python) PhD Projects, Programmes & Scholarships

We have 37 Applied Mathematics (python) PhD Projects, Programmes & Scholarships

Biomechanics of internal fixation methods for ankle fusion

Ankle fusion is a common treatment for advanced ankle arthritis to relieve pain and improve functional outcomes. However, there is a reported non-union rate of 5-37%, requiring further surgery or an ankle replacement. Read more

Thermodynamic signatures of collective behaviour in active matter

  Research Group: Complex Systems
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2024. . Read more

Understanding the evolution of gene regulatory networks through biophysical modelling and machine learning

The ability to coordinate the expression of genes within a cell is at the heart of life. When and how much of a specific gene is turned into a protein is essential for organisms to respond to their environment and to manage resources. Read more

Multi-physics investigation of spray in a crossflow

Understanding the dynamics of particles (solid and liquid) in a crossflow is essential for many scientific investigations and engineering applications. Read more

Connections between Numerical Analysis of Differential Equations and Machine Learning

Up to two funded PhD projects are available in the Department of Mathematics at the University of Manchester on Connections between Numerical Analysis of Differential Equations and Machine Learning. Read more

Numerical investigation of MHD systems coupling the induction formulation with thermal models

The department of Astronautical, Electrical and Energy Engineering at the Sapienza University of Rome is inviting applications for the following fully funded PhD project/studentship, expected to commence November 2024. Read more

Machine Learning and Domain Decomposition methods for Fluid Dynamics

Modelling of many modern applications leads to linear systems whose size is too large to allow the use of direct solvers. Thus, parallel solvers are becoming increasingly important in scientific computing. Read more

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