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Field
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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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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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engineering, electronics or related fields) You have an aerospace background, have already worked in the sector and familiar with space systems design and validation You have an affinity with hardware
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university/spinout environment. This is a unique opportunity to work at the forefront of applied research and innovation, helping translate novel control algorithms and hardware prototypes into real-world
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analysis for late-stage process chemistry The successful candidate will have the opportunity to design and build next-generation hardware modules that push the boundaries of automated chemistry. You will
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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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experience with design and manufacturing; research experience in ergonomics; hands on experience with robotic hardware and tool usage in a field environment; proficient in design software using solidworks, 3-D
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. On the EIC side, the successuful candidate will participate in the detector effort around the Roman pots. IJCLab is involved at various levels in the project, in design, cooling, and electronics testing
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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