Welcome to the Training page for LSST.
Please take a moment to familiarize yourself with the contents of this site. Here you will find resources for the commonly used tools in the project. There is also a calendar of upcoming training sessions, and forms to request training.
If you are looking for our Litmos, our Learning Management System, or LinkedIn Learning, click the images below:
LSSTPO is committed to the continuos training and development of project memebers in the areas of job related skills training, persona;l development, and compliance with center and federal regualtions. In accordance with the LSST Project Administration Policy (LPM-97) which states that all in-house and external training records will be kept on file and maintained in a training database. Any training that project members attend at LSST is recorded in Limtos, our training database, If you attend any training outside of LSST, it is your responsibility to fill out the form found in the link below. within 30 days of attending. if you have any accompaning certificates, send them to firstname.lastname@example.org.
Financial support for Rubin Observatory comes from the National Science Foundation (NSF) through Cooperative Agreement No. 1258333, the Department of Energy (DOE) Office of Science under Contract No. DE-AC02-76SF00515, and private funding raised by the LSST Corporation. The NSF-funded Rubin Observatory Project Office for construction was established as an operating center under management of the Association of Universities for Research in Astronomy (AURA). The DOE-funded effort to build the the Rubin Observatory LSST Camera (LSSTCam) is managed by the SLAC National Accelerator Laboratory (SLAC).
The National Science Foundation (NSF) is an independent federal agency created by Congress in 1950 to promote the progress of science. NSF supports basic research and people to create knowledge that transforms the future.
NSF and DOE will continue to support Rubin Observatory in its Operations phase. They will also provide support for scientific research with LSST data.
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