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We have 96 Biomedical Engineering (self) PhD Projects, Programmes & Scholarships

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Biomedical Engineering (self) PhD Projects, Programmes & Scholarships

We have 96 Biomedical Engineering (self) PhD Projects, Programmes & Scholarships

Self-assembly of nanoparticles on thin films and droplets of surfactant-polymer mixes

Many types of nanomaterials rely on the self-assembly process of their corresponding nanoparticles. Soft matter thin films are often used as templates to direct the assembly of the nanoparticles into desired arrangements. Read more

Self funded MSc by Research or PhD in Biology: Ion channel signalling in cancer cells

Lead supervisor: Dr W Brackenbury. The student will be registered with the Department of Biology. Our cells constantly sense and transport ions present in their environment. Read more

Surface Enhanced Raman Spectroscopy

Applications are invited for a self-funded PhD. In this PhD project you will integrate surface-enhanced Raman scattering (SERS) with an LFI platform for POC diagnostics using size-controlled Raman reporter-tagged gold nanoparticle clusters. Read more

Remote patient monitoring using wearable devices and AI

Artificial intelligence (AI) has permeated various aspects of modern life, significantly influencing the healthcare sector. Fuelled by this momentum, remote patient monitoring facilitated by mobile sensing technology is on the way to changing how patients are monitored and treated. Read more

Characterisation of tissue microstructure from non-invasive MRI using Machine Learning

The characterisation of biological tissue microstructure in vivo and non-invasively is of outmost interest in science. If successful, it could reveal unique insights into biological processes, including aging and cancer. Read more

Development of next generation electrosurgery electrode design via surface microtexturing

SELF FUNDED PROJECT. 3 years full time, start date 1st April, 1st July, 1st October 2024. Electrosurgery is a medical procedure that utilises an alternating and high frequency current (200kHz-3.3MHz) to either cut and/or coagulate tissues and achieve haemostasis. Read more

Understanding how electrical communication can regulate metabolic cycles in bacteria biofilms

Project Overview. A biofilm is a robust form of bacteria colony resistant to antibiotics. They have significant impacts on a multitude of industries impacting health and industrial processes such as in food production and water security. Read more

Using Brain Computer Interface to Improve Cognitive Performance

Electroencephalogram (EEG) is a non-invasive technique commonly used to measure brain activity. In this project, we aim at using EEG Biofeedback (brain-computer interface (BCI)) for improving cognitive performance (e.g. Read more

Controlling plasma chemistry of cold atmospheric-pressure air plasmas

  Research Group: Plasma and fusion science and technologies
Plasma technologies already form a key part of many of today’s multi-billion pound industries such as the nanoscale fabrication of microprocessors, production of solar cells and the deposition of advanced functional coatings. Read more

Sustainable processes – reducing single use plastics in healthcare

The burden of medical plastic waste has become an increasingly pressing concern in recent years. The healthcare industry relies heavily on single-use plastic items due to their convenience and hygiene factors, but this has led to a significant environmental problem. Read more

Portable and Noninvasive Assessment of Cerebral Haemodynamics for Critical Care

Healthcare represents a complex and global scientific challenge that demands an integrated approach, combining expertise from diverse fields such as medicine, technology, economics, and social sciences. 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

AI Powered Personalized Virtual Heart Modelling

Supervisory Team: Dr Lei Li, Prof. Age Chapman. Project description. In this unique PhD project, we aim to develop advanced AI models for creating cardiac digital twins, i.e., virtual heart models. Read more

Computational methods for medical image analysis: Foundation models, Generative models and Multimodal Learning

The field of medical imaging and precision medicine has seen remarkable advancements in recent years, driven by the potential of artificial intelligence (AI) technologies, such as generative models, foundation models, multi-modal learning algorithms, and large language models. Read more

Engineering extracellular vesicles/exosomes for the treatment of ocular disease

Extracellular vesicles, also referred to as exosomes, are membrane‐bound particles containing huge numbers of proteins as well as genetic material in the form of RNA (mRNA and miRNA). Read more

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