Multimodal MRI biomarkers in preclinical Alzheimer’s disease

You will investigate early vulnerability of the brain in preclinical alzheimer using large multimodal MRI datasets from a European cohort of cognitively unimpaired individuals at risk of the disease. You analyse structural, diffusion, perfusion, and functional MRI measures to identify network and microstructural alterations that precede symptoms. You integrate MRI-derived features with biological and clinical markers to improve disease-progression models and early prediction.

Would you like to know more about the different phases within the PhD trajectory? You can read more about this on this page.

Your work includes:

• development and application of image-processing pipelines;
• multivariate modelling using network analysis and machine-learning techniques;
• interpretation of multimodal patterns of brain organisation;
• collaboration with international partners in alzheimer prevention;
• contribution to methodological innovation in neuroimaging.

You work in a multidisciplinary environment that combines technical expertise with clinical relevance.

We are looking for an enthusiastic and motivated researcher with a strong interest in multimodal neuroimaging and clinical translation. You have:

• a master’s degree in technical medicine, neurosciences, neuropsychology, biomedical sciences or a related field;
• experience with neuroimaging processing and analysis;
• programming skills in, for example, R, Matlab or Python;
• affinity with alzheimer and other neurodegenerative disorders;
• good communication skills in written and spoken English.