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memory devices has only recently been explored, this doctoral project aims to advance that frontier. Initially, the research will explore CMOS–memristor hybrid implementations, leveraging their analog
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two companies. The project has partners from eight different EU countries. All 15 PhD projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications
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two companies. The project has partners from eight different EU countries. All 15 PhD projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications
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projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications in the fields of communication, sensing, geo-localization, space and biomedical. This PhD
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projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications in the fields of communication, sensing, geolocalization, space and biomedical. This PhD
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journals and present at international conferences. Where to apply Website https://www.academictransfer.com/en/jobs/357570/phd-on-mixed-signal-circuit-des… Requirements Specific Requirements A master’s degree
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analog circuits for implementing ONNs for computing. Modeling, simulate and benchmark different computing tasks such as sensor data processing. Explore ONN implementation topology and its energy efficiency
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be developed to validate its core measurement principles and assess its performance under Mars-analog conditions. The PhD student will take a leading role in designing, assembling, and characterising
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photon detectors (both SPADs and SNSPDs). - Development of circuits for the treatement of analog signals produced by fast linear optical detectors. - Managment of the electornic elements between the FPGA
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partners from eight different EU countries. All 15 PhD projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications in the fields of communication