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Field
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research of mobile and optical communication networks and systems, as well as in machine learning, computer vision, and the compression of digital video. Become a part of our team and join us on our journey
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years of experience with extensive expertise in microelectronics and microsystems technology. Our wide range of technologies spans from advanced semiconductor processes and MEMS technologies to innovative
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, voltage converter modules for electromobility, laser systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow’s technology in
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through stable, accessible, and high-performance data infrastructure. What you will bring (position requirements) Master’s degree in information technology, applied computer science or computer engineering
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and Master programs 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
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für Materialforschung und -prüfung (BAM) is a materials research organization in Germany. Our mission is to ensure safety in technology and chemistry. We perform research and testing in materials
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research, medical technology development, and clinical application. The focus is particularly on photon-counting computed tomography (PCCT), 4D MRI flow imaging, and AI-supported analysis and modeling
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: Successfully completed scientific university degree, preferably in computer science, electrical engineering, or a comparable field of study Very good programming skills in Python (e.g., TensorFlow, PyTorch) In
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new location in Heilbronn and is looking for suitable candidates. Heilbronn is one of the locations in Germany that is currently developing most dynamically in the fields of innovation, technology
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area “LaSTing: Robust Assessment & Safe Applicability of Language Modeling: Foundations for a New Field of Language Science & Technology,” which is funded by the German Research Foundation (DFG