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Masterthesis: Anwendung von Deep-Learning-Methoden auf 3D-LiDAR-Umgebungsdaten

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Hamburg-Rahlstedt, DE, 22143

C++PythonDeep LearningTensorFlowPyTorch

Job Description

Wintersemester 2025/26 - befristet auf 6 Monate

IHRE AUFGABEN:

Sie entwickeln intelligente Algorithmen für anspruchsvolle Outdoor-Anwendungen auf Basis von 3D-LiDAR-Daten
Sie erarbeiten sich aktuelle Methoden des Deep Learnings zur 2D/3D-Umgebungserfassung (Segmentierung, Objekterkennung und -klassifizierung)
Das Training von Deep-Learning-Modellen sowie die ...

SICK

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Masterthesis: Anwendung von Deep-Learning-Methoden auf 3D-LiDAR-Umgebungsdaten

Master's thesis: Application of deep learning methods to 3D LiDAR environment data

Duales Studium 2026: Data Science und Künstliche Intelligenz (B.Sc)*

Dual study programme 2026: Computer Science - Computer Science (B.Sc.)* Karlsruhe

Dual study programme 2026: Data Science and Artificial Intelligence (B.Sc)*

Masterthesis: Anwendung von Deep-Learning-Methoden auf 3D-LiDAR-Umgebungsdaten

The Go-To Job Board for AI, ML, Data Science & SDE.

5 jobs found

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Masterthesis: Anwendung von Deep-Learning-Methoden auf 3D-LiDAR-Umgebungsdaten