Tue, Nov 7, 2017, 9:00 am to 5:00 pm
Maeder Hall Auditorium, Andlinger Center
Tuesday â€¢ November 7, 2017 â€¢ 9:00 am â€“ 5:00 pm Maeder Hall Auditorium â€¢ Andlinger Center â€¢ 86 Olden Street Please join the Princeton Institute for Computational Science & Engineering (PICSciE) for our annual Research Computing Day on November 7th. Registration is now open. This showcase highlights the computational and data-intensive research by Princeton graduate students and postdocs from all disciplines. In addition, it introduces the campus community to the wide array of research computing support, services and infrastructure available to Princeton researchers. This event is open to undergraduate and graduate students, postdocs, researchers, faculty and staff at Princeton and its affiliates. There will be 30-minute presentations by graduate students and postdocs, as well as talks by PICSciE and OIT-Research Computing staff, poster sessions, and open discussions. PICSciE is soliciting proposals for Oral Presentation and Poster abstracts on computational and data-intensive research by graduate students and postdocs from all disciplines to be presented at the RC Day. For more information, visit https://www.princeton.edu/researchcomputing/events/research-computing-day/. A new event at this year's Research Computing Day is the Scientific Visualization Challenge. The theme is â€œUsing Visualization to Communicate Information.â€ Members of the Princeton community are invited to submit original images or movies they have created by programming in any language. This is an opportunity to share and teach creative solutions to visualization challenges across the sciences and engineering. More information can be found at https://www.princeton.edu/researchcomputing/vis-lab/pixi17-vis-challenge/. Organized and sponsored by the Princeton Institute for Computational Science & Engineering. Co-sponsored by the Office of Information Technology, Research Computing, the Office of the Dean for Research and the Center for Statistics and Machine Learning. Questions? Email email@example.com.