We have 109 mathematical models PhD Projects, Programmes & Scholarships

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mathematical models PhD Projects, Programmes & Scholarships

We have 109 mathematical models PhD Projects, Programmes & Scholarships

Minimal mathematical models for dynamical systems with abrupt events

Tipping points and other critical changes are often explored by first reducing a mathematical model to a simpler form. However, for dynamical systems with abrupt events such forms often miss important features. Read more

Digital twining for deformable objects – achieving real-time simulations

A step change in the simulation of the complex interactions between flexible objects and immersing fluid flows is required in the development of digital twin technologies, to enable real-time predictions by scientists and engineers for problems and applications ranging from virtual reality in the gaming and film industries, through to river adaptation and extreme weather flood mitigation. Read more

Statistical inference for epidemics models

Mathematical models have been established as an important tool for capturing the features that drive the spread of a disease, predicting the progression of an epidemic and guiding the development of effective control strategies to prevent potential outbreaks. Read more

Model-based Approach for Prognostics Health Management (PHM) for Fusion Reactors

  Research Group: Plasma and fusion science and technologies
The University of York is at the forefront of transformative research in data-centric engineering, digital twins, and AI, bringing about a revolution in the design and operation of systems. Read more

Data-driven optimal prediction of bacteria growth

This project is devoted to an AI-based prediction of bacteria growth and its control by antibiotics. In synthetic biology, an improved understanding of bacterial regulatory circuits is required to develop complex biological systems with functionalities beyond existing in nature [1, 2]. Read more

Data-driven optimal prediction of bacteria growth

This project is devoted to an AI-based prediction of bacteria growth and its control by antibiotics. In synthetic biology, an improved understanding of bacterial regulatory circuits is required to develop complex biological systems with functionalities beyond existing in nature [1, 2]. Read more

New parameter inference for stochastic models of tissue growth

My research group is recruiting a PhD student who will work on a project to produce and apply new computational methods for parameter estimation with a focus on discrete models that describe tissue growth experiments. Read more

Combining genome-scale metabolic models and multi-omics data for a system level understanding of bacteria

Understanding microbial metabolism is essential for the exploitation of bacteria in a number of different biotechnological applications, the members of the Streptomyces genus being a particularly biotechnologically interesting example (Del Carratore et al., 2022). Read more

AI to the rescue of climate change, modelling air quality for cleaner urban planning

  Research Group: Computing, Informatics and Applications Research Group
Research Group. Computing, Informatics and Applications Research Group. Proposed supervisory team. Dr Lakshmi Babu Saheer. Dr Javad Zarrin. Read more

Eco-Creative Nature-Inspired Renewable Energy Extraction

Natural mechanical power from steady water flows in oceans and rivers can provide an alternative and abundant source of cheap and clean energy, in addition to the renewable energy from winds, waves and sun. Read more

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