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Field
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27 Jan 2026 Job Information Organisation/Company University of Siegen Department Embedded Systems Research Field Computer science » Computer architecture Researcher Profile First Stage Researcher
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developers Your Profile: Bachelor’s degree with subsequent Master’s in electrical or electronic engineering or a closely related discipline Strong foundation in analog/mixed-signal circuit design Experience
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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solutions for pressing societal challenges (e.g. communication, artificial intelligence, climate protection, health, etc.) through modern electronic & photonic technologies. The work covers the entire
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individual computing devices to the overall architecture, including a focus on applications, and training methods - across multiple technological platforms - photonics, electronics, biological neurons
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-operando Raman experiments on glass corrosion Developing and constructing fluid cells with integrated alpha radiation sources Performing post-mortem analyses (electron microscopy, e.g. EPMA, SEM, and X-ray
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. Applications can be submitted via our application platform (please select “I want to apply to the GSNAS”) until January 31, 2026. We will be happy to answer further questions via email at application
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, please visit: https://qbm.genzentrum.lmu.de/application/ Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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research group (please find further information at https://www.biologie.uni-konstanz.de/gruber ). You will be developing machine learning-based data science approaches for the analysis of Next Generation