Research Project. Cardiac magnetic resonance imaging (MRI) is commonly used for the clinical management of patients with cardiovascular diseases. Read more
We invite applications for a dynamic PhD research opportunity in the field of advanced microstructural imaging within the context of prostate health assessment. Read more
Proton Beam Therapy (PBT) is a radically new type of radiotherapy that has the potential to improve the precision and targeting of radiotherapy leading to fewer side effects, faster recovery and better outcomes for patients. Read more
This project aims to design and add a capability for spatially fractionated radiotherapy (SFRT) to the research beamline in the research room in The Christie… Read more
Photonic systems offer a highly-controllable platform for the exploration of universal wave phenomena. In this PhD project, you will experimentally and theoretically investigate the use of optical fibre resonators for simulating dynamical wave phenomena at the frontiers of quantum and mechanics and solid-state physics. Read more
. About Us. The EPSRC Centre for Doctoral Training (CDT) in Smart Medical Imaging at King's College London and Imperial College London is a successful partnership of two world-class institutions to provide PhD training within an embedded hospital environment in central London. Read more
. About Us. The EPSRC Centre for Doctoral Training (CDT) in Smart Medical Imaging at King's College London and Imperial College London is a successful partnership of two world-class institutions to provide PhD training within an embedded hospital environment in central London. Read more
Overview. Breast cancer is a major and expanding health challenge, with an urgent need for strategies for early detection and precision treatment. Read more
Quantum mechanics and general relativity are the most successful physics theories of the last century with impacts on our daily lives from smartphones, medical diagnostics to GPS navigation. Read more
Description. Many-particle quantum systems cannot be simulated in practice because the size of the vectors and matrices involved are too large to fit in a computer’s memory. Read more
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
Aims of the Project. Cardiac digital twins combine AI approaches in physics/physiologically-constrained frameworks. To develop trustworthiness in digital twins we will test how to perform global sensitivity analysis on a virtual cohort. Read more
The Department of Biomedical Engineering at the University of Dundee is inviting applications for a self-funded PhD research project under the supervision of Dr Alessandro Perelli. Read more
*Offer only available for the duration of your active subscription, and subject to change. You MUST claim your prize within 72 hours, if not we will redraw.
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