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FEFerdinand-Braun-Institut, Leibniz-Institut für Höchstfrequenztechnik (FBH)

Master thesis: Automated measurements optimization(m/w/x)

Berlin
Full-timeInternshipOn-site

Assessing and analyzing GaN technology characterization data, identifying outliers with machine learning at a high-frequency electronics research institute. No prior experience needed. Structured research project, access to advanced lab equipment.

Tasks

  • Assess and analyze GaN technology characterization data
  • Identify outliers during testing with and without machine learning

Education

  • Bachelor's degree

Languages

  • EnglishBusiness Fluent
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