The following projects are part of this work package:
Open positions for start in 2023
- How do supermassive black holes affect their host galaxies? - position filled
- Machine learning methods for generation of random images and equilibrated configurations of gluon fields in Quantum Chromodynamics - position filled
- Using neural networks and clustering algorithms to understand the mass flows and energy cycles at the heart of our Galaxy - position filled
2022
- Reconstructing the assembly history of our Galaxy using neural networks
- Constraining the complex relationship between galaxies and their dark matter haloes with machine learning
- Artificial Intelligence to improve HPGe detector performance and reliability
- AI: from high energy physics to medical applications
Back to: Centre for Doctoral Training for Innovation in Data Intensive Science