Fraunhofer-Gesellschaft

Master's Thesis, Data Science, Statistics – Clustering of High-Dimensional Data

Fraunhofer-Gesellschaft

internship

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Location Type: Hybrid

Location: Hannover • Germany

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About the role

  • Start as soon as possible in the "In-silico Toxicology" department as a Master's candidate on the topic "Methodological Development and Application of Clustering Approaches for High-Dimensional Mixed-Type Data in the VICT3R Project"
  • Identification of hidden structures and patterns within complex, high-dimensional datasets
  • Application of methodologically adapted multivariate techniques

Requirements

  • You are enrolled in a Master's program in Statistics, Data Science, or a related field
  • You have a strong interest in biological questions and enjoy working methodically
  • You have good knowledge of common programming languages such as R
  • You are proficient in written and spoken English and ideally also in German
Benefits
  • Flexible working hours: With our flexitime model you can optimally balance your studies and your work with us
  • Mobile work: You have the option to work partially remotely from home and from TU Dortmund
  • Canteen: Enjoy discounted lunch prices
  • Corporate benefits: Benefit from attractive discounts with numerous well-known brands
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Rmultivariate techniquesclustering approacheshigh-dimensional data analysis
Soft Skills
methodical workstrong interest in biological questionsproficient in written and spoken Englishideally proficient in German
Certifications
Master's program in StatisticsMaster's program in Data Science