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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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semiconductor devices and circuits based on fully depleted silicon-on-insulator (FDSOI) technology for next-generation AI hardware. This position focuses on the design, fabrication, characterization, and modeling
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multimodal. Furthermore, law enforcement agencies cannot afford to share sensitive data with external parties, so methods must avoid external cloud APIs and be light enough to run on limited hardware. Your job
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neural processing hardware and design tools, and ML security, and their applications in resource-constrained Embodied-AI systems (like autonomous vehicles, UAVs/UGVs, Robotics, smart houses/cities
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custom experimental systems. These instruments may combine optical components, laser and spectroscopic methods, spin-control or magnetic-resonance techniques, electronics, data-acquisition hardware, and
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research contributions, you will serve as a technical coach for the PhD researchers, helping to align developments across the different work packages and ensuring the successful integration of hardware
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manufacturing) are required. Proficiency in English is required. Qualified applicants should possess comprehensive expertise in the following areas: System hardware integration of medical instruments Advanced
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. user support, and maintenance of hardware and software. develop experimental research exploiting nanoCT for battery research. participate in the BatMAX consortium, including planning beamtimes
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Do you want to use functional programming to find new ways to develop, test and formally verify software or hardware? Chalmers, with its world leading groups in functional programming and formal
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instrumentation is highly desirable Experience with detector systems, motion systems, and experimental hardware is advantageous Knowledge of catalysis, energy materials, or hydrogen technologies is beneficial but