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at Durham, working in hardware and embedded security, confidential computing, trusted execution, secure AI, and related areas. This post is suitable for candidates with a wide range backgrounds relevant
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at Durham, working in hardware and embedded security, confidential computing, trusted execution, secure AI, and related areas. This post is suitable for candidates with a wide range backgrounds relevant
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automation methodologies and software infrastructure for next-generation computing systems, including neuromorphic and emerging hardware platforms. The position involves designing high-performance algorithms
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to the validation of an innovative hybrid satellite digital twin, the Titan Forge, which includes hardware and software components emulating the behaviour of the complete mission. This can speed-up the development
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Because of the drastically increasing demand from AI/ML applications, the computing hardware industry has gravitated towards data formats narrower than the IEEE double format that most computational
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, tape-out, and testing, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing. ● Emerging AI
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hardware and embedded security, confidential computing, trusted execution, secure AI, and related areas. This post is suitable for candidates with a wide range backgrounds relevant to cyber security
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following scientific areas: computer modelling, fabrication, and testing of flight hardware, as well as project management. FLSA Exempt Full Time/Part Time Full Time Number of Hours Worked per Week 40 Job FTE
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evaluate advanced algorithms for applications such as secure and adaptive control, anomaly and attack detection, resilient decision-making, and AI-enabled operational support for highly distributed grids
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of experimental quantum communication hardware development, optical memory qubit characterization, and fiber-based networking demonstrations using novel memory qubits. The goal is to employ the natural telecom