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Acceleration who has: strong experience in FPGA design, machine learning or a related field in the case of the Postdoctoral Research Associate, a PhD (or near completion) in FPGA design, machine learning or a
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well as a postgraduate PhD research program for over 50 students. 33 academic staff conduct theoretical and experimental research in quantum physics, astrophysics, fundamental physics; and condensed matter
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for manufacture. Knowledge of FPGA development and hardware description languages such as SystemVerilog or VHDL, with experience in simulation, synthesis, and implementation considered highly desirable
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