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programmability to accommodate different use cases are becoming essential. Increasingly, overall system performance is no longer limited solely by the front-end, but by the interface between the analog and digital
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is seeking a highly motivated PhD candidate to work on a fundamental research project on systems and control theory for learning in neuromorphic circuits. Neuromorphic computing is an analog, brain
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will be highly appreciated for this role. Key Responsibilities: Leading analog in-memory-computing macro design Leading analog-to-digital converter development Leading test chip development Leading test
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firmware design. Contact: Massimo Gottardi (FBK), Giampietro Tecchiolli (AI4IV) Where to apply Website https://phd.fbk.eu/calls/detail/mixed-analog-digital-cmos-architectures-for-ai-… Requirements Research
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knowledge of analog and digital circuits. Experience with various techniques for high frequency characterization, e.g., lockin amplifier, oscilloscope, FPGA, and so on. Mandatory experience in programming
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, or equivalent degree with an electronics focus At least two (2) years of experience with analog or digital circuits An equivelant amount of work experience will count towards degree (High School degree
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Scientific Assistant in Analog/Digital Integrated
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Energy transition Life and health technology Security and privacy. Societal digital transformation; INESC-ID promotes cooperation between academia and industry by addressing research on daily life issues
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research-track faculty and five clinical faculty, and sports thirty IEEE Fellows and one National Academy of Engineering member. The department’s faculty and researchers are active in the areas of analog and
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proven experience. An equivalent combination of education and relevant experience may be considered. Solid understanding of analog and digital circuits and electric circuit theory. Experience planning and