Our DTP issues a new call for projects prior to interviews taking place. The projects available for September 2024 entry will be available in the Autumn of 2023. All Core MRC DTP projects are available as 1+3 (MRes + PhD) or as a 4-year PhD. The final decision on which pathway is taken will be made in consultation with candidates who are offered a studentship.
You may contact project supervisors for further information on possible project opportunities. This does not commit a candidate to these laboratories.
2024 Entry – Core Project Catalogue
All Core MRC DTP projects are available as 1+3 (MRes + PhD) or as a 4-year PhD. You may contact project supervisors for further information about project opportunities. This does not commit a candidate to these laboratories.
Imaging microbial infections via novel gallium-68 labelled aptamers
Using artificial intelligence to extract retinal and neural information and to use Big Data multi-omics to discover biomarkers of disease.
Self and Others: Multimodal Characterisation and Modelling of the role of Endogenous Modulatory Control Mechanisms in Responses to Aversive Stimuli in Health and Disease.
Vision in soft tactile for contextual-aware activity recognition in clinical rehabilitation
Combining super resolution imaging with physiological systems to understand the mechano-regulation of ovarian ageing
Mass spectrometric imaging for understanding receptor-targeted therapies
High Resolution Ultrahigh Field Functional Magnetic Resonance imaging of Newborn Infants
Modelling blood flow and perfusion in the twin placenta
Big Data in Dentistry: Can Morphometrics Facilitate Accurate Automated Registration?
Imaging homing and efficacy of a new cell therapy to treat cardiac fibrosis
AI-driven simulations of brain development
Enabling low field interventional MRI using novel AI-powered image reconstruction
Photoacoustic Ultrasound Imaging of Tissue Hypoxia in Pulmonary Arterial Hypertension
Utilising and exploring biosynthetic pathways in cancer cells to biosynthesise near infrared quantum dots for tools in image guided surgery
Do advanced fetal MRI protocols provide enhanced assessment of the fetal bowel: an MRI pilot study
Development of fibre-optic depth selective molecular assessment of dentoalveolar bone grafts
Biological and computational approaches for targeted delivery of Auger electron-emitting radionuclide theranostic anti-cancer agents
Text promptable semantic segmentation of volumetric neuroimaging data
AIRIaL: Artificial Intelligence and Resistance Imaging in Lung Cancer
Child Friendly MRI
Multimodal neuroimaging biomarkers for Huntington’s disease.
Integrating development, homeostasis and repair to enhance repair strategies for the ear drum
The role of mitochondrial dysfunction in diabetic complications and potential therapies
Targeted imaging of neutrophils and platelets in inflammation
2024 Entry – iCASE Project Catalogue
All iCASE projects are available as a straight 4 year PhD. You may contact project supervisors for further information about project opportunities. This does not commit a candidate to these laboratories.
Engineering, characterisation and glycoprofiling of IgE antibodies for cancer immunotherapy
Predictors of neurodevelopmental outcomes in early-onset epilepsy: leveraging AI in video-based and electronic health records
Stratifying cognitive behavioural therapy for anxiety and depression: from discovery to impact
Developing a pre-clinical human pancreatic cancer model to test novel immunotherapies.
Measuring permeability to understand the mechanisms and predict absorption of PROTACs following oral administration
Collateral-ID: Mapping the off-target degradome of PROTACs
Previous Project Catalogues
The projects listed below are for reference only for the 2023 Cohort of MRC DTP MRes 1+3 Students. These projects are NOT Availiable for 2024 entry.
Predictive Modelling of Cardiovascular Diseases Using Physics-Informed Artificial Intelligence
Uncovering pro-arrhythmia mechanisms of Arrhythmogenic Cardiomyopathy using image-based cardiac digital twin technology
Artificial intelligence for diagnosis of critical brain pathology using neuroimaging