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student assistants . We can discuss our ideas together to find the right job for you. What you contribute Strong understanding and practical experience with image processing methods or computer vision
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Tübingen, Baden-Württemberg | Germany | 2 months ago
. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling humans’ and animals’ shape and behavior. About the project In the NICE Toolbox project
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. Algorithm Development: Research, implement, and optimize image processing algorithms for both embedded and PC-based systems. Data Management: Analyze and evaluate modern data persistence concepts for
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Frankfurt. Our common goal: 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
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Heidelberg, Baden-Württemberg | Germany | 14 days ago
well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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other semiconductors. One focus is the development, implementation, characterization, modeling, and simulation of laser material processing in the areas of structuring, ablation, joining, and surface
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computer vision. The main focus is on semiconductor manufacturing and medical technology. Are you passionate about cutting-edge research at the intersection of semiconductor technology and artificial
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responsibility include the following: implementation/porting of algorithms from the fields of deep learning and audio signal processing extension of methods in the field of music information retrieval, e.g. for
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further evaluation of Windows binary fuzzers Potentially co-develop a dynamic program analysis tool What you bring to the table Computer science degree and programming skills in C and C++ (please
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What you contribute You are a registered student (preferably) in physics, mechanical engineering, materials science, materials engineering, industrial engineering, computer science, chemistry or