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Stoke on Trent×
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Maths & Computing×

Maths & Computing PhD Projects, Programs & Scholarships in Stoke on Trent

We have 11 Maths & Computing PhD Projects, Programs & Scholarships in Stoke on Trent

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  Computational neuroscience and biomedical engineering
  Dr C Day
Application Deadline: 31 March 2019
Computational modelling and analysis to understand how neural systems work and to design engineering solutions for biomedical problems that involve abnormal or lacking neural control.
  Evolutionary Systems
  Dr A Channon
Application Deadline: 31 March 2019
To develop and analyse evolutionary systems to advance understanding of natural and artificial evolutinary processes and their capacity to generate increasingly intelligent behaviours.
  Machine learning and computational intelligence
  Prof P Andras
Application Deadline: 31 March 2019
To work on the development and application of machine learning and computational intelligence methods to address biomedical and engineering problems characterised by large volumes of complex data.
  Semi-supervised and Unsupervised Deep Learning for Human Behaviour Understanding in Short Videos Clips.
  Dr B Mandal
Applications accepted all year round
In this project the PhD research student needs to understand the strengths and weaknesses of the emerging semi-supervised and unsupervised deep learning networks for analysing videos.
  Development of a novel 3D gut-microbiota model for the assessment of absorption and metabolism of health supplements and therapeutic drugs
  Dr P Ragazzon
Application Deadline: 10 December 2019
The gut epithelium is a complex setting of intestinal cells and epithelial cells filled with transporters, enzymes and channels; these cells are then populated by bacteria (microbiota) that help with the metabolism of nutrients and transport into the blood stream.
  Smartwatches and Activity Trackers – Technology Assessment and Data Science
  Dr S Woolley
Applications accepted all year round
Wearable technology and data science are active and important areas of research. In particular, there is growing interest in the use of wearables for positive outcomes in health and well-being applications.
  Social Learning in Artificial Evolutionary Systems
  Dr J Borg
Applications accepted all year round
Artificial evolutionary systems, be they simulated or grounded in physical robots, provide a novel and cutting-edge way to investigate the emergence and evolution of adaptive and intelligent behaviours.
  User Experience Evaluation of a Real Smart Energy Network
  Prof F A C Polack
Applications accepted all year round
Project Description. Keele hosts a smart energy network demonstrator (SEND), which will go live in 2019. Once the digitally-monitored energy system is live, it offers many opportunities for research.
  Evolutionary Robotics: using evolution to generate robust robot control systems
  Dr Adam Stanton
Applications accepted all year round
Evolutionary Robotics has a long history as an alternative to mainstream approaches to the design of robot morphologies and control systems.
  Principled agent-based simulation
  Prof F A C Polack
Applications accepted all year round
Agent-based simulation can be used to model the dynamics of natural systems. each agent represents a low-level component (e.g. a cell), and the finished simulator aims to model the higher level dynamics (e.g.
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