Postdoc Multilayer Networks in Neuro-oncology

Are you ready to help transform how we understand and treat oncological and neurological diseases? We are seeking an ambitious postdoctoral researcher to join a groundbreaking project that aims to bridge the biological scales of disease, from molecules to brain networks to cognition.

In neurodegenerative and oncological diseases, including Alzheimer’s disease (AD) and glioma, early cellular and molecular changes eventually lead to brain network disruptions and cognitive decline. However, connecting these dots across levels of biology remains one of the greatest challenges in modern neuroscience. Our project addresses this challenge head-on, using multilayer network theory: an exciting analytical framework that allows us to model, quantify, and understand interactions within and between different biological scales.

You will work at the forefront of this innovation, developing integrated network models that combine proteomic data (molecular scale) with brain network imaging (systems scale). Your goal is to identify the critical molecular and network targets that drive cognitive decline and, ultimately, to uncover new strategies for personalized therapeutic intervention. We already have a strong foundation for this goal: a toolbox that is data-type agnostic, that integrates across different network levels. 

This project sits at the intersection of computational neuroscience, systems biology, and clinical research. You will have access to rich multimodal datasets and will collaborate closely with a multidisciplinary team of neuroscientists, neurologists, and data scientists. If you are passionate about systems neuroscience, precision medicine, and innovative computational methods, and want to make a real impact on the future of research in this space, we would love to hear from you.

• You hold a PhD in artificial intelligence, mathematics, bioinformatics, or a closely related discipline;
• You have experience in developing and implementing computational methods;
• You have strong programming skills, preferably in Python;  
• You can communicate complex ideas clearly to non-specialists;
• You have excellent written and verbal communication skills in English, are self-motivated, and can work effectively in a multidisciplinary environment.