The CRM (www.crm.cat) is an independent research centre in the CERCA network since 2008, with the purpose of promoting both advanced training and research in all areas of mathematics, in collaboration with universities and other research institutions in Catalonia. CRM’s mission includes transferring knowledge based on the centre's research to society and aiming at having societal impact.
Research at CRM covers a wide spectrum of fields, from the most fundamental areas (algebra/number theory/geometry/topology, analysis and PDEs, combinatorics and dynamical systems) to applied mathematics (in the fields of biomedicine, climate change mitigation and adaptation and natural hazards).
The Computational Neuroscience — Vidaurre group at the CRM is looking for a PhD student to join the project “A new integrative statistical framework to
connect symptoms to mechanisms in brain disease” project code "Actuación ATR2024-155014 financiada por MICIU/AEI/10.13039/501100011033"
This contract is envisaged to start on September 1st, 2025, and will last until August 30th 2029.
An increasing number of people—especially older adults—are living with two or more chronic diseases, a condition known as multimorbidity. Despite its widespread impact, many aspects of multimorbidity remain poorly understood. In this project, we will use the largest neuroimaging, epidemiology to date: the UK Biobank. While the large sample size of the UK Biobank provides excellent statistical power, modelling comorbidity remains challenging due to the heterogeneity of conditions and the complexity of brain imaging data. Here we will develop algorithms to (i) find useful representations from brain activity (measured using functional MRI) across thousands of subjects, (ii) estimate multivariate relationships between these representations and the full span of clinical data contained in the UKB, and (iii) mine these multivariate relationships in order to uncover comorbidity networks across psychiatric/neurological diseases —where the connections of the network encode the amount of biological overlap between conditions according to the neuroimaging data.