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Profile: You are currently enrolled in a Master’s program in engineering, energy systems, industrial engineering, or a related field. You are also characterized by: Strong interest in electricity markets
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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow's technology in-house for a sustainable and secure society. When will
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institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Computer Vision offers two full-time positions as Research Associate / PhD Student (m/f/x
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Positions Application Deadline 30 Apr 2026 - 00:00 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe
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parameters Documentation, interpretation, and scientific classification of the results Your Profile: Currently pursuing a degree in a relevant field such as energy engineering, mechanical engineering, computer
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: to make the world of tomorrow safer. Be part of change Implementation and application of computer vision approaches, including: object detection (e.g., using YOLO, RT-DETRv2, etc.) image classification
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Joint Univers. Professorship for “Sustainable polymer matrix composites at TU Hamburg” combined with
, property optimization, and aging-driven interfacial degradation. The aim of the research program is to devise materials innovations that support the transition from single-use high-performance PMCs
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. As part of our project with the start-up TwinCloud, we are looking for a Student
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coatings. The modified surfaces are intended to optimize cell adhesion and function, creating ideal conditions for the cultivation of microglial cells. In this way, the project contributes to the development
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transition and gain practical experience during your studies? You support our Group "H2 System Analysis and LCA" who contributes that by modelling, simulating and optimizing Hydrogen and Power-to-X systems