The interconnected areas of data science, machine learning and heterogenous computing are growth areas, and as an interdisciplinary centre we are ideally placed to contribute.
Various undergraduate and postgraduate opportunities are available through the Groups and Departments participating in the Centre.
Seminars & lectures
- A. Tapper, High-speed data processing in particle physics experiments,
- Z. Que, , Compute Accelerator Forum, CERN.
- M. Barbone, , CERN OpenLab Lecture Programme.
- A. Rose, , UK Advanced Instrumentation Training 2022.
- M. Barbone, , Compute Accelerator Forum, CERN.
- M. Barbone, Practical HPC, Flatiron Institute, New York.
Masters & undergraduate projects
- S. Baccas, Accelerated Bayesian Cluster Analysis for Super Resolved Microscopy, MSc report (supervisors: A. Rose, P. French).
- Computing students at undergraduate and MSc level through the
- Rozanov, Fast Machine Learning for the CMS Level-1 Trigger, MSc thesis (Supervisor A. Tapper)