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engineering services across electrical, electronic, biomedical, and mechanical fields. You will design, develop, and test specialized instruments and systems that support groundbreaking research and development
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biomedical ICs. Job Duties The job duties will be the following: Conduct original research in the design and development of mixed-signal and analog ICs, including data converters (ADCs/DACs), amplifiers, power
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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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initiatives across university facilities. Key Responsibilities Empty heading * Install, calibrate, and troubleshoot control systems (analog/digital), utility metering devices, and drive controllers using
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
Until Filled No Position Type Permanent Staff (EHRA NF) Working Title Director of Digital Innovation Appointment Type EHRA Non-Faculty Position Number 20059683 Vacancy ID NF0009468 Full Time/Part Time
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will lead and contribute to innovative research and development through proposals; and projects in mixed-signal and/or analog microelectronics. Responsibilities will include research in; designing and/or
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Number: 6833537 Assistant/Associate Professor in the Arts and Unconventional Computing About the Opportunity About the Opportunity The College of Arts, Media and Design (CAMD) at Northeastern University
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mixed-signal Electronic Integrated Circuits? Are you eager to electronically control light, like none before? Do you want to design ICs to steer the next generation of FMCW LiDARs (Frequency-Modulated
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supports energy efficiency initiatives across university facilities. Key Responsibilities · Install, calibrate, and troubleshoot control systems (analog/digital), utility metering devices, and drive
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Engineering and Mechatronics. The Proposed PhD thesis topic: “Intelligent Diagnostics of Electrical Machines through AI-Enabled IoT Systems: Design of Custom Embedded Hardware and Protocol-Aware Architectures