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Your Role
With us, you have the opportunity to perfectly combine your studies with practical experience while actively contributing to exciting projects. This allows you to gain valuable skills, expand your network, and grow both professionally and personally.
Contribute to research on video-based machine learning methods
Develop and evaluate models for semantic video understanding (e.g., Object interaction in video, dynamic scene understanding, semantic segmentation)
Work with real-world datasets and problem settings from ZEISS applications
Implement and analyze state-of-the-art approaches and extend them in a research-driven setting
Your Profile
Enrolled in a Master’s in Computer Science, Machine Learning, or a related field
Strong fundamentals in machine learning and deep learning
Experience with Python and common ML framewor...