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FRFraunhofer-Gesellschaft

Master's Thesis Data Science & Statistics - Clustering of High-Dimensional Data(m/w/x)

Hannover
Full-timeInternshipWith Home Office
Data Science

Methodological development for clustering approaches on high-dimensional mixed-type data. Strong R programming skills and analytical work required. Mobile working, flexible hours.

Requirements

  • Enrollment in master's program in statistics, data science, or related field
  • Strong interest in biological research questions and systematic, analytical work
  • Good skills in common programming languages like R
  • Ability to communicate in English and ideally German, written and spoken

Tasks

  • Conduct methodological development for clustering approaches
  • Apply multivariate methods to high-dimensional mixed-type data
  • Identify latent structures and patterns in complex data sets
  • Characterize heterogeneous groups of observations
  • Collaborate with project partners at TU Dortmund University
  • Contribute to statistical evaluation of data analyses
  • Develop and refine clustering methods for mixed variables
  • Work on the VICT3R project at Fraunhofer ITEM in Hanover

Education

  • Currently in higher education

Languages

  • EnglishBusiness Fluent
  • GermanBusiness Fluent

Tools & Technologies

  • R

Benefits

Flexible Working

  • Flexible working hours
  • Mobile working

Free or Subsidized Food

  • Company restaurant

Corporate Discounts

  • Corporate benefits
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