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Biomedical Engineering PhD Projects in Glasgow

We have 6 Biomedical Engineering PhD Projects in Glasgow

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  PhD in Engineering: Headspace metabolomics for non-invasive biomarker discovery
  Dr C Gauchotte-Lindsay, Dr E Combet Aspray, Prof G Ramage
Application Deadline: 11 January 2019
Recent developments in advanced mass spectrometry and data treatment tools has led to a boom in the efficient design of point-of-care testing (POCT).
  PhD in Engineering: Magnetomyography (MMG) Sensors
  Dr H Heidari, Dr J Riddell, Dr A Vuckovic, Dr C Stasinakis
Application Deadline: 11 January 2019
Project Summary. This PhD project will address the issue related to capturing the magnetic field from skeletal muscles by bringing about a novel, robust and efficient technique based on Magnetomyography (MMG).
  Advanced microscopy for blood flow field mapping in the heart
  Dr J Taylor, Prof A Harvey
Application Deadline: 13 January 2019
A PhD studentship is available in the Imaging Concepts Group at Glasgow University, developing and applying advanced optical microscopy and computational imaging techniques to measure and study the blood flow and heart function in the developing zebrafish heart.
  PhD Psychology: Computing the Face Syntax of Social Communication (FACESYNTAX)
  Dr R Jack, Prof P Schyns
Application Deadline: 31 May 2019
Aims. This ambitious project aims to mathematically model the human face as an algebraic generator of dynamic social signals and build a psychologically and culturally valid generative model of social face signalling that is transferrable to social robots.
  Computational design of carbon fibre reinforced polymer composites
  Dr K Johnston, Dr P Mulheran
Applications accepted all year round
A fully-funded PhD studentship is available for EU/UK students. This project is an industrial collaboration with the Strategic R&I group of Solvay Composites, based in Wilton, UK.
  Development of multi-sensor measurement for characterizing biological suspensions and tissue
  Dr Y Chen, Dr L Lue
Applications accepted all year round
The difficulty to obtain a reliable and robust model for quantitative information in real-time has been a major barrier for performing biomedical diagnostics.
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