About this role
Abschlussarbeit: Unsupervised Learning für Anomalie Detektion in Zeitreihendaten (m/w/d)" (Augsburg, DE, 86153) at Everllence Home. Location: Augsburg, Bavaria, Germany. Role: researching methods, implementing models, evaluating results Requirements: Student in computer science or related field with strong ML knowledge; proficient in Python and ML libraries. Category: Research and Development (R&D) Seniority: No Prior Experience Required Tools: Python, scikit-learn Commitment: Internship Workplace: Onsite Languages: German, English