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good programming and automation skills (e.g. C++, MATLAB, Python, LabVIEW, Arduino, Raspberry Pi or FPGA-based controllers) Expertise in developing robotics and motion control systems is beneficial
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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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board (PCB) design, analog and digital telecommunications, advanced digital design, wireless networks, VLSI, VHDL, FPGA or a closely related field. Must be able to teach related coursework in electronics
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specify FPGA based applications Design and implement improvements to the software development, build, test and deployment environment and processes to ensure robust reliable solutions transition
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++, etc.); experience with FPGA and ASIC design flow; A collaborative spirit for teamwork within diverse project groups; Excellent communication and presentation skills and creative thinking; Fluency in
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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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virtual reality systems, code language models, high-level synthesis, Bayesian neural networks, and FPGA-based acceleration. To apply as a Research Associate you must have a PhD (or equivalent) in
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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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for seizure detection. These algorithms will be implemented on a spiking neural network (SNN) processing unit deployed on FPGA and custom-designed chips with an integrated detection mechanism. Research area and
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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