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We have 18 Engineering (stroke) PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
Engineering (stroke) PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
We have 18 Engineering (stroke) PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
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Investigating the Effectiveness of Hydrogel Bioelectronics-Enabled Thermal Cooling in Reducing Neural Damage from Stroke
An exciting opportunity has arisen for a motivated PhD student to join our dynamic and passionate research team and contribute to our ground-breaking research on stroke treatment. Read more
Investigating the effects of a training aid on golf putting mechanics
Please note this is a MPhil project. Golf is a popular recreational activity as well as an elite sport. It’s relatively low musculoskeletal and particularly cardiorespiratory demands make it an effective medium for maintaining exercise and mobility in the elderly population. Read more
Robotic Exoskeletons Controlled by Brain-Computer Interfaces
Brain-computer interfaces (BCIs) can establish the direct pathway between human brain and external equipment. BCIs can be used for motor rehabilitation for stroke patients, which may enable the patients perform independent training and therapy actives in combination with exoskeletons. Read more
Graduate Teaching Assistant (GTA) PhD Scholarships - Sheffield Hallam University: Advancing the development of social prescribing in theory and practice
Applications are invited for Graduate Teaching Assistant (GTA) PhD scholarships in CRESR, commencing 2 October 2023. Read more
Biomechanics and wearable sensors
Project Overview. Movement analysis and recording in humans has been confined to dedicated gait and motion capture facilities, but this only records movements for a single part of one day in an unusual environment. Read more
Multimodal Control of Prosthetic Limbs/Paralysed Muscles
This project aims to enhance the quality of life of patients with amputees, spinal cord injury, stroke and brain injury by developing advanced control strategies for artificial limbs. Read more
Engineering Nanoparticles for prenatal applications
We aim to understand how prenatal therapy can be used to treat sickle cell disease (SCD) by developing a nanoparticle delivery system to encapsulate gene-editing tools in human and mouse fetal haematopoietic stem cells (HSCs) and delivery methods in a mouse model of SCD. Read more
Digital Music Therapeutics for Precision Cardiovascular Medicine
This research project focuses on developing individualised, explanatory computational models for modulating autonomic responses through music that can be used in digital therapeutics for cardiovascular health, with focus on treatments for raised blood pressure. Read more
Development and validation of novel MRI methods using preclinical models of disease.
At Glasgow’s Experimental MRI Centre we are interested in pushing the boundaries of Magnetic Resonance Imaging (MRI) and its application to biomedical research. Read more
Kernel methods for system identification with application to the analysis and classification of cardiovascular time series
Supervisory Team: Dr Andrea Lecchini-Visintini, Prof David Simpson. Project description. Read more
Computational neuroscience: Statistical signal processing for multivariate neuronal data, Neural computing with Spiking neural networks.
How does the human brain work? As you read this text, the pixels on your screen are converted into a series of spike trains passing along the neural pathways in your brain, allowing you to understand the content. Read more
Single-Molecule Biophysics: Flow Molecular Dynamics simulation under shear condition for thrombosis and haemophilia study
Clotting and bleeding are two sides of a coin, leading to cardiovascular diseases such as stroke and haemophilia—the No.1 worldwide killer. Read more
Develop point-of-care microfluidic and bioprinting technologies for cardiovascular and cerebrovascular diseases
Excessive clotting (thrombosis) leads to the cardiovascular diseases such as heart attack and stroke—the No.1 world-wide killer, killing one Australian every 12 minutes. Read more
Machine learning approaches in health data science for risk prediction of cardiovascular diseases
Cardiovascular disease is killing over 17 million people in the world. almost a third of the death from cardiovascular diseases occur suddenly without prior signs and symptoms or diagnosis of any heart conditions. Prediction and prevention of cardiovascular diseases are then a priority to prevent these deaths. Read more
Statistical machine learning for computational neuroscience
This project will focus on signal processing in neuroscience applications using state-of-the-art statistical machine learning techniques. Read more
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