Vacancies

New VR project: Investigating deep learning through the lens of adaptive kernels

There is no denying that deep neural networks have had a profound impact on research across statistics, data science and machine learning, as well as significantly altered the analytical landscape in many application areas, including bioinformatics and systems biology. While previous research efforts were focused on the then surprisingly excellent performance of deep neural networks, the field is now shifting toward trying to explain this performance through connections to classical statistical methodologies.

New SSF project: CNSx3: Transformative Models for Brain Diseases

The CNSx3 center aims to develop ground-breaking therapies against brain diseases. Three techniques will be used together: organoid cultures in fluid circuits, patient-specific biobanks and advanced computational methodology. In the project, machine learning will also be used to find new treatments and tailor therapies for individual patients.