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nV/√Hz , ce qui fait de la préservation de l'intégrité du signal tout au long de la chaîne d'acquisition un défi critique. Dans ce contexte, les circuits reconfigurables (FPGA) sont apparus [3] comme
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LevelUndergraduate Skills/Qualifications Microcontroladores, Microprocesadores, FPGAs LanguagesENGLISHLevelExcellent LanguagesFRENCHLevelGood Additional Information Eligibility criteria https://www.upm.es
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offers and actions on https://cluster-ia-enact.ai/ . You will work in a rare environment at the intersection of frugal AI, analog computing, reconfigurable electronics and THz imaging. The PhD is directly
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approach that bridges the analog and digital domains. The research will focus on integrating high-performance analog front-ends--critical for signal purity--with modern FPGA-based digital signal processing
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background in AI-enabled signal processing and machine learning algorithms, have experience with embedded platforms (e.g., NPU, FPGA, ARM Cortex-M), be proficient in programming languages like C, C++ and
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. SDR Expertise: Strong hands-on experience with SDRs (USRP, RFSoC, or equivalent). FPGA programming experience is a plus. Programming Skills: Strong experience with MATLAB and/or Python; experience with
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https://www.imec-int.com/en/work-at-imec/job-opportunities/senior-sensor-fusion… Requirements Research FieldEngineering » OtherEducation LevelPhD or equivalent Research FieldComputer science
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are seeking a Research Engineer I to support our research and testing
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with FPGA programming used in superconducting quantum circuit experiments. Model-Free Quantum Control via Reinforcement Learning: Reinforcement learning (RL) is an emerging approach for optimizing
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optimized code written by expert programmers and can target different hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance (fastest execution) for a