The fifth school on tools, techniques and methods for Computational and Data Science for High Energy Physics (CoDaS-HEP) is planned for 17-21 July, 2023, at Princeton University.
Advanced software is a critical ingredient to scientific research. Training young researchers in the latest tools and techniques is an essential part of developing the skills required for a successful career both in research and in industry.
The CoDaS-HEP school aims to provide a broad introduction to these critical skills as well as an overview of applications High Energy Physics. Specific topics to be covered at the school include:
- Parallel Programming
- Data Science Tools and Techniques
- Machine Learning - Technology and Methods
- Practical skills: performance evaluation, collaborative use of git/github
The program includes both lectures and practical hands-on exercises.
The school offers a limited number of young researchers an opportunity to learn these skills from experienced scientists and instructors. Successful applicants will receive lodging and some level of travel support to attend the school. Both Ph.D. students and postdoctoral researchers are encouraged to apply. Financial support for participants will be limited to those associated to U.S. academic institutions.
3 Apr 2023: Applications for the CoDaS-HEP 2023 school are now being accepted. Please use this Google Form to apply. The deadline for application is 26 April, 2023. Applicants will be notified regarding acceptance and available travel support by 10 May, 2023.
Questions can be sent to [email protected].
- National Science Foundation
- Princeton Institute for Computational Science and Engineering (PICSciE)
- Princeton University Physics Department
- Enrico Fermi Institute at the University of Chicago
- Office for the Dean for Research Princeton University