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Join TU Delft and work together with NXP to build low-power AI accelerators for self-healing analog/RF calibration, fixing noise/offset. Co-design algorithms & hardware and validate on real silicon
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transceiver front-ends, addressing key design challenges through a comprehensive multi-domain approach spanning antenna, analog/RF, and digital domains. The expected outcome is a novel co-design strategy
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funds under the 2023.11981.PEX project reference. Scientific Area: Basic Sciences and Enabling Technologies Group: Integrated Circuits - Lx Work Objectives: This work plan addresses the problem of analog
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analogous neural circuitry and shared molecular pathways have established songbirds as the model system of choice for human speech learning and fine motor control in general. The PhD candidate will use
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scope of different subjects such as electrical engineering/electronics, microelectronics, microsystems technology, information technology, computer science, physics, chemistry, optics and manufacturing
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Delft and NXP Semiconductors as a PhD researcher developing next-generation testing solutions for analog and mixed-signal automotive chips. Job description The Computer Engineering (CE) section
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to the conserved neural organization of the mammalian brain, which provides a common computational blueprint across species despite profound differences in body plan and ecological niche. Motivated by this analogy
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essentially corresponding knowledge in another way. The applicant is expected to meet the following requirements: Deep technical documented proficiency in analog, RF, and mixed-signal IC design using advanced
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research center and two companies. The project has partners from eight different EU countries. All 15 Ph.d. projects are within the overall theme of neuromorphic computing and analog signal processing
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. The applicant is expected to meet the following requirements: Deep technical documented proficiency in analog, RF, and mixed-signal IC design using advanced CMOS technologies. Well-versed in the end-to-end design