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profile is shaped in particular by five high-profile areas. About Minds, Media, Machines Minds, Media, Machines (MMM) is one of the five interdisciplinary, high-profile areas that largely define
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The Fraunhofer Institute for Digital Medicine MEVIS is a world-leading and internationally connected research center for computer assistance in medicine. With about 140 employees, our mission is to
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! Be
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related field. Strong background in robotics, estimation, control, or machine learning. Strong proficiency in Python and/or C++ and experience with ROS/ROS2. Demonstrated research experience (e.g., Master’s
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hash functions for image recognition OSINT and crawling, social media and the dark web / cryptocurrencies Machine learning for data analysis AI security: Attacks on deep learning (classifiers, LLMs) and
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Vacancy for fields of study such as: Automation Engineering, Electrical Engineering, Computer Science, Mathematics, Control Engineering, Software Engineering, Computer Engineering, Surveying
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. Our projects are conducted in close collaboration with industrial partners and public-sector customers, including the German Armed Forces (Bundeswehr). The resulting technologies are directly
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to wafer bonding processes or semiconductor manufacturing technology. Scientific Writing: Ability to document complex technical results clearly in English or German. Machine Learning: Basic knowledge and
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will acquire comprehensive knowledge of processing transparent materials using UKP laser radiation You will independently plan and conduct experiments on the SLE lathe You will measure the fabricated
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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 5 days ago
well as surface science techniques generally, is an advantage Readiness to learn and apply new experimental techniques Willingness to work in an interdisciplinary field and an international work environment Fluency