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, approaches related questions in an interdisciplinary manner (i.e., at the intersection of psychology, technology, and human–computer interaction). We welcome candidates with a strong interest in fundamental
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of computer vision technologies. Be part of change Conduct research and development in the fields of Artificial Intelligence (AI) and Machine Learning (ML) Design, implement, and evaluate AI-based methods, with
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Max Planck Institute for Intelligent Systems, Stuttgart, Stuttgart | Stuttgart, Baden W rttemberg | Germany | about 2 months ago
, robotics, computer vision, and related disciplines. As the main doctoral program of the Max Planck Institute for Intelligent Systems (MPI-IS), IMPRS-IS brings together an international community of doctoral
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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 testblu, we are looking for a Student
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infectious samples • Experience working with laboratory animals and in biosafety laboratories (BSL-2/3) • Strong communication skills in English, as our team is international • Solid computer skills, including
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, cavitation will be investigated both experimentally and via computer simulation. This doctoral project is a joint initiative between the Fraunhofer ITWM »Grid-Free Methods« Department and the Department
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Student Assistant (m/f/d)- Software Development for Cutting-Edge Autonomous Outdoor Robot Navigation
have some experience with C++ and Linux It's a plus if you have already worked with one or more of the following: ROS 2, computer vision, pointcloud-processing, machine learning, docker, git, GitLab CI
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experimental research. You have experience with microscopy, including scanning electron microscopy (SEM), and, ideally, thin-film characterization and analysis. Familiarity with computer-aided design and
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, organized, and conscientious approach to your work in the lab and on the computer, as well as proficiency with MS Office (Excel and PowerPoint) You have a proactive communication style A quick grasp of new
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communication networks and systems, as well as machine learning, computer vision, and digital video compression. Become part of our team and join us on a journey of research and innovation. Be part of change