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We have 48 Applied Mathematics (scholarships) PhD Projects, Programmes & Scholarships

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Applied Mathematics (scholarships) PhD Projects, Programmes & Scholarships

We have 48 Applied Mathematics (scholarships) PhD Projects, Programmes & Scholarships

UCL SECReT: The International Training Centre for Security and Crime Research Degrees

UCL's Security Science Doctoral Research Training Centre (UCL SECReT) was founded in 2009 with support from the Engineering and Physical Sciences Research Council (ESRC) and an array of public and private sector organisations working in crime reduction security and law enforcement. Read more

Space Trajectory Classification using Machine Learning

Supervisory Team: Dr Alexander Wittig, Dr Davide Amato (external, from Imperial). Project description. Interest in more complex dynamics of space trajectories beyond perturbed Keplerian dynamics is rapidly growing. Read more

Computational Acoustics: Predicting, Simulating and/or Auralising how the world sounds

  Research Group: Acoustics Research Centre
Information on this PhD research area can be found further down this page under the details about the Widening Participation Scholarship given immediately below. Read more

Neural Networks for Complex Dynamical Systems

Details. Dynamical systems are often solved/integrated by a suitable numerical discretisation method in such a way that certain properties of the underlying systems will be preserved. 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

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

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

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