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Field
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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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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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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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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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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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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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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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should also be able program, at a basic level, hardware which utilises FPGAs and small embedded processors; these devices are increasingly being used for teaching/research within Electronic Engineering
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individual with the ability to support dynamic research activities and ensure smooth technical operations. You should apply if Specialist in server, storage, network, and FPGA setup/support. Expert in IT