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We have 68 medical physics PhD Projects, Programmes & Scholarships

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medical physics PhD Projects, Programmes & Scholarships

We have 68 medical physics PhD Projects, Programmes & Scholarships

Quantum Leap in Medical Diagnosis: Advanced Magnetic Resonance Spectroscopy for Metabolite Quantification [SELF-FUNDED STUDENTS ONLY]

Magnetic resonance spectroscopy (MRS) offers a powerful, non-invasive window into the body's biochemistry. By analyzing the unique spectral signatures of small molecules called metabolites, involved in essential cellular processes, MRS has the potential to revolutionize disease diagnosis. Read more

Quantum Leap in Medical Diagnosis: Advanced Magnetic Resonance Spectroscopy for Metabolite Quantification

Magnetic resonance spectroscopy (MRS) offers a powerful, non-invasive window into the body's biochemistry. By analyzing the unique spectral signatures of small molecules called metabolites, involved in essential cellular processes, MRS has the potential to revolutionize disease diagnosis. Read more

A Hybrid Plasma Accelerator for Therapeutic Electron Beams

Would you like to join us at the University of Manchester to change the future of particle accelerators?. Using the available studentship, you will explore combining mature electron production technology with new plasma-based acceleration. Read more

PhD Machine Learning for Medical Imaging

  Research Group: Applied Optics
We are offering a fully funded PhD studentship in the application of machine learning to medical imaging, especially imaging of cancer. Read more

Active Colloidal-Quantum-Dot Light Emitting Devices: QD Laser and QD LEDs

Realization of electrically pumped lighting and lasing with colloidal quantum dots will have a revolutionary impact on many disciplines including display, photonics, optical communication, chemical sensing, and medical diagnostics. Read more

Towards developing novel actuation method of soft robotic devices towards medical applications

  Research Group: Healthcare Engineering
Beating-heart procedures represent a less invasive alternative to standard open-heart surgery with fewer perioperative complications, and shorter recovery time. Read more

Exploration of deep learning based generative adversarial networks (GANs) to mitigate bias in the evaluation of medical images among diverse population and disease sub-groups

Medical image analysis using Deep Learning models involves training on progressively larger datasets. Homogeneity of data within the training set, particularly in its representation of diverse population sub-groups and various disease stages, substantially influences model effectiveness. Read more

Interaction between medical materials and skin

This project will build on previous research within the department to characterise and understand the interaction between medical materials and skin such as gloves, incontinence pads, masks and dressings. Read more

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