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We have 32 Biomedical Engineering (sensors) PhD Projects, Programmes & Scholarships

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Biomedical Engineering (sensors) PhD Projects, Programmes & Scholarships

We have 32 Biomedical Engineering (sensors) PhD Projects, Programmes & Scholarships

Last chance to apply

Development of Electrochemical Wearable Sensors for the Rehabilitation Process Using Artificial Intelligence

The Postgraduate Research Programme MedAgriTech AI eXcellence (MATX) offers 12 PhD research scholarships to commence in 2024. Each project will include an enterprise placement of minimum 12 weeks duration. Read more

Adaptive Signal Processing for Dynamic Environments

In recent years the cost of many sensors has decreased, which combined with increased ease of use has led to a vast increase in the number of sensors being employed to measure increasingly complex environments. 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

Advanced Biosensors for dementia biomarker detection

Applications are invited for a PhD studentship to join the Advanced Biosensing group led by Dr Bing Li at the Institute for Materials Discovery (https://www.ucl.ac.uk/institute-for-materials-discovery/), University College London. Read more

Wearable Healthcare Sensor for Continuous Monitoring of Critical Biomarkers and Therapeutic Drugs

Supervisory Team.   Prof. Xize Niu, Prof. Pete Worsley, Prof. Michael Ardern-Jones. Project description. Wearable sensors measure various physical, chemical, and biological information in real-time and continuously and in a non-invasive or minimally invasive manner. Read more

Advancements in Additive Manufacturing for Sustainable Materials

In this research project, we aim to explore the intersection of additive manufacturing (AM) and sustainability, offering an exciting opportunity for individuals passionate about shaping the future of manufacturing. Read more

PhD Engineering Scholarship: Advanced Human Interfacing Technology and Machine Learning Methods for Real-Life Assistive Robotic Exoskeleton

The progress on advanced signal processing techniques and machine learning algorithms allows us to non-invasively interface with our central nervous system using sensors such as high-density surface electromyographic recordings (HDsEMG). Read more

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