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Field
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development lifecycle Detailed design of electrical systems including circuit design, FPGA development, and low-level software development and integration Analysis of alternative solutions and trade-space
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with designs for infrared or optical image sensors, sensor characterization, performance optimization, and calibration methods. Digital logic design and implementation using FPGAs. Experience in DSP
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OR related field OR physical science and experience with micro-processor, FPGA, RF, real-time automated system control, network data storage, and data acquisition Experience with general productivity
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accelerators and other scientific applications, focusing on FPGA-based digital signal processing for real-time control. Responsibilities span the full system lifecycle, from concept to commissioning, with
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acquisition systems for particle accelerators and other scientific applications, focusing on FPGA-based digital signal processing for real-time control. Responsibilities span the full system lifecycle, from
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that integrate analog/digital architectures with neuroscience-inspired algorithms Implement and optimize biologically plausible learning rules on FPGA and high-performance computing (HPC) platforms Basic
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optimization, and calibration methods. Digital logic design and implementation using FPGAs. Experience in DSP programming and interfacing. Programming in C++, UNIX, Python, Matlab, and familiarity with image
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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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systems including bare-metal embedded systems, RTOSes, FPGAs, and embedded Linux. You will have opportunities to develop tools, techniques, and processes to solve some of the most difficult software
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experience or equivalent. • Knowledge with building embedded control systems in Python or C++/C#. • Experience in machine vision and/or industrial automation. • Experience with PCB design, DAQ, and FPGA