Our DTP issues a new call for projects prior to interviews taking place. The projects available for September 2023 entry will be available in the Autumn of 2022. All 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.
2023 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.
Please note: Applications for these iCASE projects have now closed. These projects are listed as a reference only.
Explore efflux transporter-associated chemoresistance using a chemical biology approach and develop efflux resistant TOPO 1 inhibitors as ADC payloads
Engineering of Nanoparticles for prenatal applications
Interrogating the therapeutic impact of MYB overdose brought on by AKTinhibitor treatment in blood cancers
Evaluation of the quantitative accuracy and radiation dosimetry of an advanced pre-clinical multipinhole SPECT/CT theranostic imaging device
Optimization Of The Potency And Specificity Of Engineered Regulatory T Cells To Treat Inflammatory And Fibrotic Liver Diseases
Better localisation for epilepsy surgery by optimising simultaneous EEG and functional MRI recordings at 7T
Elucidating spatio-temporal nuclear dynamics in 4D using state-of-the-art imaging in beating hearts
2023 Entry Core Project Catalogue
Please note: Applications for the MRC DTP Core Programme (MRes 1+3 & the 0+4 Pathways) 2023 Entry have now closed. These projects are listed as a reference only and are not available for application selection.
Imaging microbial infections via novel gallium-68 labelled aptamers
Predictive Modelling of Cardiovascular Diseases Using Physics-Informed Artificial Intelligence
Artificial intelligence for diagnosis of critical brain pathology using neuroimaging
Mapping Brain Connectivity using Deep Learning Tractography
CARdiac and Placental imaging in pregnancy (CARP)
Real-time deep-learned patient-specific safety monitoring for ultra-high field MRI
The eye as a window to the brain: predicting intracranial pressure through retinal image analysis
Dissecting out the cardiovascular remodelling in hypertensive heart disease through personalised computational models of the heart
Brain conductivity as a biomarker for atypical neurodevelopment
Bacterial Siderophores as Tools for Diagnostic Imaging
Predicting optimal therapies for Left Ventricular Outflow Tract Obstruction (LVOTO) for Hypertrophic Cardiomyopathy (HCM) patients.
Gene therapy of traumatic brain injury using focused ultrasound
Advanced cardiac magnetic resonance imaging in patient with implanted devices using advanced acquisition schemes and deep learning.
Development of molecular imaging tools to detect cardiac syndrome X.
Development of Artificial Intelligence (AI) for Automated Detection of Pathological Mediastinal Lymph Nodes
Utilising and exploring biosynthetic pathways in cancer cells to biosynthesise near infrared quantum dots for tools in image guided surgery
Radionuclide and ultrasound imaging of effective molecular radionuclide therapies and combination therapies in neuroendocrine tumours.
Regulating forces at the nuclear envelope to protect against cancer
Understanding the molecular mechanisms of stem cell regulation and tumour suppression using multi-omics
Revealing the nanoscale architecture of epithelial cell-extrusion regulating Piezosome organelles
Identifying new targets to treat Type 1 Diabetes
Gestational diabetes and depression: A role for islet serotonin
Exercise in Virtual Reality: The Future of Cardio-Respiratory Rehabilitation?
Investigating immuno-metabolism in pustular psoriasis, a single-cell approach
Previous Project Catalogues
Please note that the below Project Catalogues are for information only.