Sie verfügen über ein abgeschlossenes Bachelor- oder Masterstudium im Bereich Informatik, Wirtschaftsingenieurwesen, Elektrotechnik, Mechatronik oder über eine vergleichbare Qualifikation, idealerweise mit Schwerpunkt Künstliche Intelligenz, Machine …
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Gesellschaft JH AG - Geschäftsbereich Technik - Standort Norderstedt & anteiliges Homeoffice - Beginn 01.08.2026 … Unterstützung der Technologieentwicklung und Übernahme erster eigener Aufgaben im Bereich Machine Learning und Computer Vision
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Künzelsau - Künzelsau - Unbefristet - Vollzeit - Hybrid - Forschung & Entwicklung - Festanstellung - Start nach Vereinbarung … Computer Vision und datengetriebene Methoden sind Schlüsseltechnologien für skalierbare Robotik-Lösungen in Handwerk und KMU
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Ethon was built to eliminate the trillion-dollar waste problem in manufacturing. We are the technology leader in Industrial AI, building agentic workflows that help manufacturers optimize cost, quality, and speed of production
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge …
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Entwicklung einer Software zur automatisierten Qualitätsprüfung - Analyse hochauflösender 2D-Bilddaten - Vergleich klassischer Computer-Vision-Ansätze mit Deep-Learning-Methoden - Entwicklung und Optimierung von Algorithmen zur Fehlererkennung
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The Netherlands’ collaborative business culture means these professionals often work closely with engineering teams and have significant influence over product direction. 5 … Computer vision engineers are at the forefront of some of the most exciting technological developments in the Netherlands
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Develop state-of-the-art computer vision algorithms for autonomous systems - Solve challenging 3D reconstruction problems - Automate and optimize the performance of their AI pipeline - Work closely with their team to identify additional features and requirements
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A completed MSc or higher degree in a relevant STEM field (e.g., Computer Science, Electrical Engineering, Mathematics, Physics) … Hands-on experience with VIO, SLAM, INS or photogrammetry, or modern computer vision methods such as Dust3r, VGGT, and ACE Zero is considered a significant advantage
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Development and optimization of the Computer Vision pipeline - Working with video streams and processing low-quality video input - Implementation of cross-view feature matching and image retrieval - Building and indexing a georeferenced tile database
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