588 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs in Germany
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and proximity to the state capital Erfurt attractive savings opportunities with numerous corporate partners as part of the Fraunhofer Corporate Benefits Program We value and promote the diversity of our
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plan and execute polishing experiments for 300 mm test wafers using industrial polishing tools, ensuring optimal parameters and procedures for reliable results. Comparative slurry analysis: You compare
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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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available in the further tabs (e.g. “Application requirements”). Programme Description BAföG, the Federal Training Assistance Act, provides funding to support studying in Germany. It can also be used
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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At the Fraunhofer IPT in Aachen, we work with more than 530 employees every day to make the production of the future more digital, more flexible and more sustainable. In the department »High-Performance cutting« , we deal with high-quality requirements in the metal cutting industry, especially...
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sciences, computer science, a related course of study or a field of study suitable for your specialization Enthusiasm for technological challenges and industry-related research projects Interest in
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right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning, and computer vision. The main focus is on semiconductor
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offered by the School of Engineering and Design and the School of Computation, Information and Technology. You will help us to prepare teaching material, serve as teaching assistant in our lectures, support
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: The successful applicant must have the following: • PhD degree in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing, or related fields • Experience in