Data-driven reconstruction algorithms for Magnetic Resonance Elastography
Dr M Iglesias, Prof D Avitabile, Dr D McGrath
Applications accepted all year round
Modelling and Analytics for Medicine and Life sciences Doctoral Training Centre. PhD Scholarship. Supervisors. Marco Iglesias (School of Mathematical Sciences), Daniele Avitabile (School of Mathematical Sciences) and Deirdre McGrath (School of Medicine).
PhD in Engineering: Magnetomyography (MMG) Sensors
Dr H Heidari, Dr J Riddell, Dr A Vuckovic, Dr C Stasinakis
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).
Predicting the next global geomagnetic reversal using machine learning
Dr P Livermore, Dr C Davies
7 January 2019
The Earth’s magnetic field, generated by turbulent convection in the liquid outer core, has reversed many times over its 3.5 billion-year history, at a present rate of about 2-3 times per million years (Stern, 2002) The last global reversal took place 780,000 years ago, leading to speculation that we are “overdue”.