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Field
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in advanced CMOS technologies such as FDSOI and FinFET. Data converters (ADC and DAC) play a crucial role in such advanced CIM technology; hence, we are looking for a highly motivated analog and mixed
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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
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, accounting for real-world device features and non-idealities Contribute to benchmarking and evaluation frameworks, identifying “champion” designs for PCB or IC prototyping More specifically, you will: Conduct
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design using advanced CMOS technologies, along with a solid background in analog and digital signal processing systems. Comprehensive understanding of the entire IC design flow, including circuit design
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related field. Strong academic performance (top 25% of your class). Understanding of analog or digital circuit design. Basic knowledge of defects, faults, and electronic test methods. A passion for
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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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(ML) techniques toward more efficient, robust, and autonomous analog/RF IC design tools. The work plan of this research grant builds over the most recent developments made at ICG-Lx group on electronic
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We are seeking a highly motivated PhD candidate to join our research team in the field of mixed-signal IC design, focusing on the implementation of sense to compute paradigm. The ideal candidate
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of IC design with a focus on new architectures of CMOS backplanes. What you will do Developing, implementing and experimentally testing concepts for CMOS backplanes for OLED microdisplays Designing analog
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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