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quantum technologies. More details about our SiP Lab can be found at: https://www.mq.edu.au/faculty-of-science-and-engineering/our-research/silicon-platforms-lab How to Apply To be considered
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: Strong hands-on experience with SDRs (USRP, RFSoC, or equivalent). FPGA programming experience is a plus. Programming Skills: Strong experience with MATLAB and/or Python; experience with C++ for high
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including heterogeneous accelerator devices such as GPUs, DSPs or FPGAs, requiring software to cope with concurrent and parallel synchronous and asynchronous computation. The emergence of connected autonomous
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recommended. Strong background in computer architectures and embedded platforms (ARM Cortex-M, NPU, FPGA, embedded GPU), e.g., via academic courses and/or project courses Research experience (e.g., through a
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optimized code written by expert programmers and can target different hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance (fastest execution
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. Solid experience in C++ programming and FPGA development. Familiarity with signal processing, analog/digital electronics, high-throughput data processing, and parallel computing. Strong analytical skills
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Low-power Network Protocols, MAC Layer protocols C/C++, Compilers, Embedded Systems (Optionally) Basic Electronics, PCBs, Circuits, FPGAs Highlights of the position Part of a Marie Skłodowska Curie
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devices (SDRs, FPGAs, and low-power microcontrollers) for deployment in mobile and fixed platforms. Lead laboratory experiments and contribute to at-sea testing, including system deployment, operation, and
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electronics, development of FPGA devices, development of narrow-linewidth lasers, laser frequency stabilisation and control, image analysis, data acquisition, optical design and Gaussian beam propagation
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, and our Facilities. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . The successful candidate will join the SIGCOM Research Group and contribute to AI