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                : Master in Electrical/Electronic Engineering with proven knowledge of analog/mixed-signal integrated circuits. Additional research/development experience in any of the following topics is a plus: hands-on 
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                related discipline. Strong background in analog and mixed-signal integrated circuit design. Experience with Cadence tools for schematic design, layout, and circuit simulation. Interest or prior experience 
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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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                & Nanotech platforms, and EPFL's NeuroTech labs). Profile Sought We welcome motivated candidates with a strong background in: • RF circuits / analog electronics • Electromagnetics / antenna design • Wireless 
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                -circuit-des… Requirements Specific Requirements A master’s degree in electrical engineering, computer Engineering, or a related field. Strong background in analog and mixed-signal circuit design and 
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                recovery mechanisms will also be evaluated and integrated, addressing the susceptibility of analog and in-memory computing to noise, process variation, and soft errors. The primary objective is to design a 
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                platform as a doctoral student? At Fraunhofer IPMS , in collaboration with renowned German and European partners from science and industry, we are developing analog accelerators using novel non-volatile 
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                neuromorphic hardware, this project will push into next-generation analog circuits and memristive devices, in collaboration with PGI-14. The goal is to train a system that leverages the intrinsic non-linear 
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                for the best algorithm-hardware pair for a given problem. While we have a history of success in optimizing digital neuromorphic hardware, this project will push into next-generation analog circuits and 
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                of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do The complete design and implementation of analog circuits including