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Applied Mathematics PhD Projects, Programs & Scholarships

We have 329 Applied Mathematics PhD Projects, Programs & Scholarships

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  Antimatter Chemistry: reactive scattering collisions of antihydrogen atoms with hydrogen molecules
  Dr M Law, Dr W T A Harrison
Applications accepted all year round

Funding Type

PhD Type

Recently interest in antimatter research has increased as facilities such as CERN have succeeded in trapping antimatter atoms to study their properties [1].
  Applications of topology to soft matter physics
  Dr M Grant, Dr R Hepworth
Applications accepted all year round

Funding Type

PhD Type

This project will address mathematical problems in the research field of algebraic topology, inspired by the theory of topological defects in soft materials.
  Applied Algebraic Topology in Geometry
  Dr R Hepworth, Dr M Grant
Applications accepted all year round

Funding Type

PhD Type

In recent years the techniques of algebraic topology have been applied to data analysis with great success, and the resulting subject areas of Applied Algebraic Topology and Topological Data Analysis have seen rapid growth.
  Topological methods for image recognition
  Prof B Martin, Prof R Levi
Applications accepted all year round

Funding Type

PhD Type

The aim of this project is to develop mathematical algorithms for manipulating and classifying medical images.
  Boundary Effects in Active Matter Systems
  Dr F Ginelli
Applications accepted all year round

Funding Type

PhD Type

he study of collective properties of active matter is a fast-emerging interdisciplinary research field.
  Chaos and fractals in fluid motion
  Dr A Moura, Prof C Grebogi
Applications accepted all year round

Funding Type

PhD Type

The advection of particles and fields by fluid flows is a problem of great interest for both fundamental physics and engineering applications.
  Enhancing predictability in chaotic systems
  Dr F Ginelli, Prof A Politi
Applications accepted all year round

Funding Type

PhD Type

The goal of this research program – which involves theoretical analysis and numerical simulations -- is to apply fundamental results and recent developments (to which the supervisors significantly contributed) of dynamical system theory to enhance our ability to predict the future evolution of complex and chaotic dynamical systems -- such as weather and climate systems.
  Fast, reliable and secure wireless IoT chaos-based communication
  Dr M S Baptista
Applications accepted all year round

Funding Type

PhD Type

This PhD project tackles scientific issues aimed at creating and laying the mathematical foundations of an innovative Wireless IoT Communication System…
  How to make molecular machines: modelling ribosome biogenesis
  Prof C Romano, Prof I Stansfield
Applications accepted all year round

Funding Type

PhD Type

Ribosomes are arguably the most important biological molecular machines. Cells can be seen as factories of proteins, with ribosomes being the machines producing them.
  Learning from the past to predict and reduce the risk of infectious disease pandemics
  Dr F Perez-Reche, Prof N Strachan
Applications accepted all year round

Funding Type

PhD Type

The World Health Organisation reports that infectious diseases cause 63% of childhood deaths and 48% of premature deaths. There is the ongoing risk of epidemics and pandemics that can cause widespread morbidity and mortality (Spanish flu, ebola, SARS, E.
  Machine learning approaches to advance clinical decision making
  Prof B Schelter, Prof M Thiel
Applications accepted all year round

Funding Type

PhD Type

In this project we will use machine learning to process patient health records in order to support medical decision making. Multifaceted data will be combined and analysed to advance the standard of care.
  Modelling the deformation of cells
  Dr F Perez-Reche
Applications accepted all year round

Funding Type

PhD Type

Cells are the elementary building blocks of living organisms. The correct functioning of living organisms is therefore conditioned to the ability of living cells to withstand forces and deformations and to promptly adapt to their mechanical environment.
  Neuronal Dynamics from a complex network perspective
  Prof A Politi, Dr E Ullner
Applications accepted all year round

Funding Type

PhD Type

The human brain is possibly the most intriguing complex system we know. The combination of experimental work and theoretical approaches has gained many insides in the last century but we are still far away from a real understanding.
  Noisy translation: modelling of stochastic effects on protein production
  Prof C Romano, Prof I Stansfield
Applications accepted all year round

Funding Type

PhD Type

This project will focus on the mathematical modelling of a fundamental process in the cell. translation of the messenger RNA into a protein.
  Quantitative Risk Assessment for Food Safety (allergens, microbial pathogens or chemical contaminants)
  Prof N Strachan, Dr F Perez-Reche
Applications accepted all year round

Funding Type

PhD Type

This project will use computational methods to assess risks. An expectation of the society we live in is that the food that we eat is safe.
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