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At the Fraunhofer Institute of Optronics, System Technology and Image Exploitation IOSB we perform fundamental and applied research in the fields of laser technology, photonics, imaging sensor
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surveillance, ensuring optimal image clarity is crucial. Traffic signs, with their standardized design and critical importance for navigation, are ideal reference points for this process. What you bring
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. Metallurgy has provided humankind with materials, tools and the associated progress for more than five millennia. It is not only a huge engineering success story but has also become the biggest single
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therefore teams up materialists, electrical engineers, and computer scientists of TUD, RWTH Aachen and Gesellschaft für Angewandte Mikro- und Optoelektronik mbH ( AMO ) in Aachen, Forschungszentrum Jülich
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project is a joint initiative of the following institutions Ilmenau University of Technology, the Max Planck Institute for Biogeochemistry, the German Centre for Integrative Biodiversity Research (iDiv
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of Schleswig-Holstein (10 %) and is one of the internationally leading institutions in the field of marine sciences. Through our research and our commitment to the transfer of knowledge and technology, we
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of microelectronics and microsystem technology. These nano- and microtechnologies are the basis for the other competence areas at Fraunhofer EMFT: sensor solutions, safe and secure electronics, and micropumps
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of computer science or using computer vision methods Excellent knowledge of the development and implementation of methods in the field of digitization, artificial intelligence, machine learning and/or 2D/3D imaging and
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
Ecology and Technology group is carrying out work on the impact of manganese nodule mining on deep-sea benthic communities and their functions. The Research focuses on industrial tests of the manganese
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in the field of laser technology. We offer you the opportunity to write your thesis on the topic of “AI-supported process monitoring with multimodal sensor technology in laser beam welding”. By using