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knowledge of electromagnetics. Cryo ASIC (Masaya Miyahara) We look for candidates interested in research on cryogenic CMOS integrated circuits essential for future quantum bit control in quantum computers and
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, PSIM, Proteus, LabVIEW, SketchUp, SolidWorks, etc. Knowledge of microcontrollers, STM32, FPGAs, etc. Knowledge of communication protocols such as I2C, SPI, Profibus, Modbus, CAN, MQTT, and HTTP
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ML/DL algorithms to hardware accelerators such as FPGAs. Conduct work on emulators for models simulating kilonovae and possibly black hole mergers in accretion disks. Basic Qualifications Bachelor's
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, such as the ARM Cortex-M microcontroller for medical device applications Fluency in Matlab, Python, Embedded C, VHDL Ability to assess resource requirements and use resources effectively Understanding
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-on experience with hardware prototyping, circuit design, and experimental testing of power electronics systems. Familiarity with digital control implementation using DSPs, FPGAs, or microcontrollers is highly
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systems. Familiarity with digital control implementation using DSPs, FPGAs, or microcontrollers is highly desirable. Knowledge of thermal management principles and experience working with high-frequency
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communication skills. · Skills relevant to the trapping and manipulation of ultracold gases. Examples include basic electronics, development of FPGA devices, development of narrow-linewidth lasers, laser
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developing integrated systems to automate the acquisition and interpretation of neutron scattering data. You will contribute to the development of FPGA tools for real-time processing of live neutron
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turbulence. Experience with GPU programming, FPGA, and DNN in image recognition is a great plus. Track record of publications and conference presentations. Experience with hands on lab work. FLSA Exempt Full
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of biological brains. Spiking neural networks (SNNs) can offer increased processing speed and reduced power consumption, especially when implemented on dedicated hardware (neuromorphic chips or FPGAs). Standard