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Applied Mathematics (self) PhD Projects, Programs & Scholarships

We have 132 Applied Mathematics (self) PhD Projects, Programs & Scholarships

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  Robotic Molecules: Self-repairing and Self-assembling Machine
  Dr S Miyashita
Applications accepted all year round

Funding Type

PhD Type

The goal of this project is to develop a totally new approach for the realization of self-repairable and self-assemble machines. We literally aim at making "living LEGO".
  Biophysical principles of cellular self-organization
  Research Group: Institute of Cell Biology
  Prof A Goryachev
Application Deadline: 5 January 2020

Funding Type

PhD Type

A project in modelling self-organization and pattern formation inside biological cells is available in the group of Professor Andrew Goryachev (goryachev.ed.ac.uk).
  Coarse-grained molecular dynamics and self-assembly of reacting proteins and chromatin
  Research Group: Institute of Cell Biology
  Prof A Goryachev
Application Deadline: 5 January 2020

Funding Type

PhD Type

A project in computational modelling of reactive Brownian dynamics of DNA and proteins inside biological cells is available in the group of Prof.
  EASTBIO Forward engineering of pattern formation: Models and experiments towards predictive multicellular self-organisation
  Research Group: Institute of Stem Cell Research
  Dr G Blin, Dr L Schumacher
Application Deadline: 5 January 2020

Funding Type

PhD Type

Background. The aim of developmental biology is a complete understanding of how the embryo develops, how embryonic cells acquire their fate and how they arrange in time and space to create complex organisms.
  Forward engineering of pattern formation: Models and experiments towards predictive multicellular self-organisation
  Research Group: Institute of Stem Cell Research
  Dr G Blin
Application Deadline: 5 January 2020

Funding Type

PhD Type

Background. The aim of developmental biology is a complete understanding of how the embryo develops, how embryonic cells acquire their fate and how they arrange in time and space to create complex organisms.
  Autonomous learning with Artificial Intelligence
  Dr A Starkey, Dr M N Campbell-Bannerman
Applications accepted all year round

Funding Type

PhD Type

The ability to learn the sensorimotor maps of unknown environments without supervision is a vital capability of any autonomous agent, be it biological or artificial.
  Multi-agent AI for coordinating a hardware gig economy
  Prof T Drysdale
Application Deadline: 25 March 2020

Funding Type

PhD Type

Gig economies have turned many traditional business models on their heads, and are poised to do the same yet again, but for one of the most traditional economies.
  Three-Dimensional Active Liquid Crystals: Defects and Topology
  Dr GP Alexander
Applications accepted all year round

Funding Type

PhD Type

Active matter is a class of materials in which the individual constituents continually consume energy to generate work or motion, maintaining the system in dynamic, self-organised, nonequilibrium states [1].
  Simulation and optimisation of a spacecraft propulsion system based on a Field Reversed Configuration plasmoid using deep learning and machine learning algorithms
  Dr P Shaw
Applications accepted all year round

Funding Type

PhD Type

This project aims to investigate an enabling technology for a more significant and complex system based on a High-Energy Density Electromechanical Thruster based on Stabilized Liner Compression of Plasma that could lead to manned exploration of the Solar system [1].
  Micro-rheology of active matter
  Dr V Kantsler, Prof R C Ball
Applications accepted all year round

Funding Type

PhD Type

The project concerns microrheology of active matter - to study properties of biological microscopic constituents and its complex environment via optical microscopy and microfluidic methods.
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