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We have 19 Computer Science (medical physics) PhD Projects, Programmes & Scholarships

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Computer Science (medical physics) PhD Projects, Programmes & Scholarships

We have 19 Computer Science (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

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

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

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

Medical Image Analysis using Deep Learning

Medical Image Analysis aims to extract information from available visual modalities such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT) and Ultasonography (US) to detect conspicuous structures, quantigy their properties, evaluate the effectiveness of treatment or diagnose a condition. 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

Laser-based fabrication of medical diagnostic devices in paper

The focus of our group’s research is the development of user-friendly sensors or devices for affordable and rapid clinical diagnostic testing at the point-of-care (POC) of a patient, i.e., at their hospital bedside or in a care/nursing home, or in ambulance or at home. Read more

Noise and Evolution in Ageing Cellular Power Stations

PhD Project. Imperial College Mathematics. Student Background. Theoretical Physics, Mathematics/Statistics, Electrical Engineering, Computing (Biological knowledge not required). Read more

Fully funded PhD Scholarship in Memristive Technologies

Duration of study. Full time - 4 years fixed term. Starting date. Flexible, available from December 2023. Application deadline. No closing date, the position will remain open until a suitable candidate is found. Read more

Fundamental Electromagnetics: Foundational Theories of Electricity and Magnetism relating to Charged Particle Interactions

Applications are invited for a self-funded PhD. Charged particle dynamics (also known as charged particle optics) is concerned with the interactions of charged particles (e.g., electrons, protons, ions) within an electric and/or magnetic field. Read more

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