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Automation and analysis of superconducting electronic measurement systems
RLE: Research Lab for Electronics
Karl K Berggren
Ilya Charaev, firstname.lastname@example.org, 8572774995
The analysis of large data sets can reveal correlations between material processing, nanofabrication, and cryogenic testing. Therefore, the process by which we collect and organize experimental data becomes the key factor in evaluating the data holistically. This project aims to pull together existing automation tools into central database architecture. In doing so, participants will be creating control and automation scripts/applications, designing databases, and investigating data trends. Experience with Python and/or Matlab is preferred.