971 embedded-system-"https:"-"https:"-"https:"-"https:"-"St"-"St" positions in Germany
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offers a unique environment for teaching, study, research and knowledge transfer. We seek: In the Faculty IV: School of Science and Technology, Dep. ETI / Embedded Systems, we are looking for a researcher
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related to staff position within a Research Infrastructure? No Offer Description We seek: In the Faculty IV: School of Science and Technology, ETI / Embedded Systems, we are looking for a researcher as of
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project with the startup QuSine, we are looking for a Working Student – Embedded Software Developer. In cooperation with QuSine, we are developing groundbreaking technology for high-precision RF signal
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Home EMA The European Magnetism Association Executive Board General Council Documents Membership EMA news Communication Social Networks Mailing Event Dissemination Rules All news EMA editorials Obituaries Awards beyond EMA Materials 2023 survey Commitments Young EMA EMA Awards EMA...
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Intelligent systems operate autonomously in, and adapt to, complex changing environments. While biological intelligent systems (including humans) have developed sophisticated abilities through
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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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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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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 4 days ago
Job Code: Planeten: Engineer-Nathues-03/26 Job Offer from March 04, 2026 The Max Planck Institute for Solar System Research (MPS) in Göttingen is one of the world's leading research institutions in
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-oriented research in the field of photonics. We develop innovative light-based technologies and create state-of-the-art optical components and systems along the entire process chain - from design and
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., regression, classification) and neural networks (e.g., CNNs, RNNs) Preparation of ML models for inference on edge systems (edge AI, embedded AI) Collaboration on MLOps/DevOps processes (e.g., versioning