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Maths & Computing PhD Projects, Programs & Scholarships in Glasgow

We have 61 Maths & Computing PhD Projects, Programs & Scholarships in Glasgow

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  Fluid Dynamic Instabilities and Solid Particle Transport in Thermal Flows
  Dr M Lappa
Applications accepted all year round

Funding Type

PhD Type

With this Ph.D.
  Artificial Intelligence and machine learning for cutting edge problems
  Dr N Ramzan
Application Deadline: 14 January 2020

Funding Type

PhD Type

Modern Artificial Intelligence (AI) is an emerging field that develops intelligent algorithms and machines that include. self-driving cars, smart cameras, surveillance systems, robotic manufacturing, eHealth, emotion intelligence, and product recommendations.
  Prediction of Service Demand and Quality of Experience using Deep Learning for Healthcare
  Dr Y Zhang, Prof H Tianfield
Applications accepted all year round

Funding Type

PhD Type

SCEBE-19-010. With the explosive growth of services on the Internet, the number of choices is overwhelming. Traditionally services are passively searched by users.
  MedReach: Online Continuing Professional Development for Critical Care Nurses in LMICs
  Dr B Young, Dr G Cassidy
Applications accepted all year round

Funding Type

PhD Type

SCEBE-19-028. Continuing Professional Development (CPD) supports nurses to maintain and enhance confidence in theory and practice, build networks of support and develop and maintain efficacy of professional competencies/skills.
  The identification of micro-pollutants in waste water using structural alerts and high resolution liquid chromatography mass spectrometry with non-targeted analysis
  Dr J Roberts, Dr M McNaughtan, Dr J MacLachlan, Dr D Watson
Applications accepted all year round

Funding Type

PhD Type

SCEBE-19-025. The environmental problems associated with micro-pollutants such as pharmaceuticals and personal care products reaching water courses from waste water effluent are well documented.
  Security for mass scale remote health monitoring using IoT and machine learning
  Dr K Owens, Dr H Larijani, Prof J Woodburn
Applications accepted all year round

Funding Type

PhD Type

SCEBE-19-026. Currently, research into security for wearable devices using Internet of Things (IoT), for controlling patients’ health indicators remotely is of interest.
  Development of a Hybrid Prognostic Methodology for Predictive Maintenance 4.0
  Dr O Niculita, Prof D McGlinchey, Dr B Alkali
Applications accepted all year round

Funding Type

PhD Type

SCEBE-19-004. Knowing when systems need to be maintained is of great importance to companies operating high-value assets. Further, to know ahead of time, with plenty of time to optimize the maintenance and cause the least amount of disruption to the operation, would be highly desirable.
  Edge Computing for High Voltage Condition Monitoring– School of Computing, Engineering and Build Environment
  Dr A Nesbitt, Dr A L Michala, Dr G Morison
Applications accepted all year round

Funding Type

PhD Type

SCEBE-19-017. Recent developments in sensor, networked IIoT technology and computational storage have created a massive increase in the volume of captured data within high voltage condition monitoring systems.
  Exploring health and health inequality impact of urban green and blue spaces using Data Science Techniques
  Dr G Morison, Prof S Chastin
Applications accepted all year round

Funding Type

PhD Type

SCEBE-19-013. 66% of the world now live in urban settings. Urbanisation is forecasted to keep growing putting ever increasing stress on resources and human well-being.
  Bayesian Deep Learning for High Voltage Condition Monitoring
  Dr G Morison, Dr A Nesbitt
Applications accepted all year round

Funding Type

PhD Type

SCEBE-19-012. To ensure the power system operates safely and reliably, it is essential to monitor and evaluate the health condition of power equipment.
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