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Field
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/chiplets/interposer/wafer-scale), quantum, superconducting, machine learning, edge computing, and security/privacy in computer architecture. Digital Logic Design and VLSI – including ASIC/FPGA design for
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control software and FPGA programming. Position is expected to last for 10 months, and could additionally incorporate opportunities in vacuum chamber and electronics design depending on candidate interest
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on hardware which may include CPUs, GPUs and FPGAs. In particular we are interested in applicants who have experience of modern coding practices and software techniques. The post-holder will work with Prof. Ben
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Neuromorphic and AI-Optimized Processors – Design AI-specific chip architectures, including neuromorphic and domain-specific accelerators (TPUs, NPUs, FPGAs), for low-power and real-time AI processing. AI-Driven
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processing techniques using field-programmable gate arrays (FPGAs), alongside analog and digital circuit design. This research underpins biomedical applications, with a particular focus on early melanoma
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/chiplets/interposer/wafer-scale), quantum, superconducting, machine learning, edge computing, and security/privacy in computer architecture. Digital Logic Design and VLSI – including ASIC/FPGA design for
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design Signal Processing FPGA development Develop C/C++ or equivalent code to interface with developed hardware and associated interfaces (SPI, I2C, etc) Integration of Software Defined Radio (SDR
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parallel processing, FPGA coding and analysis, along with Machine Learning and AI based image analysis. The final aim of the project will be to generate in-situ / live film profile data to coating line
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board design or FPGA programming is a plus. Experience with automatic, semi-automatic probe-stations or manual probe measurement and notions on probe pad layouts and probecard design is a plus. You have
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can understand their limitations and take those into account in your design for test strategy. Experience with either PCB, demo board design or FPGA programming is a plus. Experience with automatic