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of experience preferred, but fewer years may be considered if relevant. Proven skills in PCB design, FPGA development, and signal processing. Proactive, organized, and comfortable working in a multicultural
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development proposals and funding bids. The successful candidate will have significant prior experience of: power semiconductor switching converters such as oscilloscopes programming MicroSemi FPGAs in
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, Telecommunications Engineering, or a closely related field. SDR Expertise: Strong hands-on experience with SDRs (USRP, RFSoC, or equivalent). FPGA programming experience is a plus. Programming Skills: Strong
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power electronics resources modeling, explore different intelligence algorithms to enhance ease of usage of simulations, and different applications of EMT simulations. Selection will be based
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making a difference to people's lives. We believe that inspiring our people to do outstanding things at Durham enables Durham people to do outstanding things in the world. Being a part of Durham is about
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project. The research will bridge both established and emerging technical expertise within the section, encompassing areas such as FPGA and neuromorphic computing, Edge AI, machine learning, power
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, integration, and system/DTCO teams to drive projects from concept to silicon tape-out in close collaboration with different teams (device, integration, analog design, test,...) You would be responsible
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on next-generation memory technologies. You will interact with device, integration, and system/DTCO teams to drive projects from concept to silicon tape-out in close collaboration with different teams
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to develop next generation quantum computers based on trapped ions. There are multiple positions available at different levels with a diverse set of expertise. This program is funded under the National Quantum
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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