KCL
European Research Council part-funded PhD Studentship: “Deep Learning-Based Synthetic Histology for Microstructural MRI Biomarkers of the Liver
Partially Funded
⏰ Closing Soon
🎓 Biomedical Engineering
🎓 Computer Science
🎓 Deep Learning
🎓 Engineering
🎓 MRI
🎓 Mathematics
🎓 Medical Imaging
🎓 Physics
phd
UK
ERC
King’s College London
London
MRI
biomedical engineering
cancer
deep learning
liver
partially funded
synthetic histology
Part-funded 3-year PhD at King’s College London focused on combining deep learning and computational histology to develop novel MRI biomarkers for liver micrometastases detection.
Project Description
The PhD is aligned with an ERC Starting Grant project.
Research integrates multi-parametric MRI with histology-informed simulations.
Develop synthetic histology meshes via deep learning to build MR signal dictionaries.
Apply the framework to preclinical and clinical data to provide histologically meaningful descriptors.
Aims to advance precision oncology and improve early metastasis detection.
Entry Requirements
Highly motivated, ideally with background in Biomedical Engineering, Computer Science, Physics, Mathematics, or related quantitative disciplines.
Familiarity with imaging techniques and computational modelling desirable.
Familiarity with imaging techniques and computational modelling desirable.
How to Apply
Apply via King’s College London postgraduate portal.
Include CV, academic transcripts, personal statement, research experience, and references.
Include CV, academic transcripts, personal statement, research experience, and references.
Eligibility
UK/Home
EU
International
Supervisor Profile
DA
Dr Andrada Ianus, Dr Cheng Zhang
King’s College London, Faculty of Life Sciences & Medicine
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