Due to the clinical and pathological heterogeneous nature of neurodegenerative diseases such as Alzheimer’s disease (AD) and Parkinson's disease (PD), non-invasive imaging biomarkers for better diagnosis, prognosis and treatment strategies, are highly needed. The aim of the project is to define the pathological sensitivity of (advanced) MRI outcome measures, as biomarkers for (differential) cognitive decline in AD and PD.
Objectives of the project are (i) to ascertain which advanced neuroimaging modalities (e.g. multi-shell diffusion outcome measures) is most sensitive to specific neuropathological disease states, as defined by the distribution and burden of proteinopathy. (ii) To address heterogeneity with pathology-defined neuroimaging patterns. (iii) To explore if artificial intelligence can be used to gain a higher sensitivity and specificity of defining pathology-confirmed subtypes.
By integrating multisource data (clinical, radiological, histopathological), the project will result in new fundamental knowledge leading to improved interpretation of imaging datasets, and contribute to better diagnosis, prognosis and monitoring paradigms in neurodegenerative diseases.
We are looking for a skilled and creative postdoctoral researcher, with a broad interest in neuroscience. You will be part of a young, multidisciplinary team, with ample experience, and an excellent position within the expert field.
- As a PostDoc your main duties and responsibilities are:
- Setting up and conducting the research;
- Collecting postmortem MRI scans;
- Performing MRI data analysis and developing pipelines;
- Statistical analysis of MRI and neuropathology data;
- Writing scientific articles based on the results of your research;
- Making scripts publicly available though our GitHub site;