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/or FPGAs) E3 Experience in hardware assembly and fabrication, with experience in PCB manufacturing/ assembly, prototyping, and willingness to acquire new skills, e.g. in additive manufacturing and chip
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, or FPGAs control platforms. To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in
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, or FPGAs control platforms. To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in
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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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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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of using FPGA tools and provide them the necessary training to use the ASIC tools. The team at Cambridge consists of three investigators: Prof. Robert Mullins (PI), Prof. Timothy Jones and Dr Rika Antonova
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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
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research activities and ensure smooth technical operations. Specialist in server, storage, network, and FPGA setup/support. Expert in IT systems and HALO software. Highly organised; excels under pressure
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communication skills. · Skills relevant to the trapping and manipulation of ultracold gases. Examples include basic electronics, development of FPGA devices, development of narrow-linewidth lasers, laser
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of biological brains. Spiking neural networks (SNNs) can offer increased processing speed and reduced power consumption, especially when implemented on dedicated hardware (neuromorphic chips or FPGAs). Standard