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Expansion: Implementing the next phase of the project to transition from rigid-body models to sophisticated systems for protein ensemble modeling. Computational Optimization: Resolving hardware-specific
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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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to deeply understand how various AI algorithms work and how to implement them efficiently on a wide range of existing and upcoming hardware. Help us push the boundaries of AI compute, collaborating with
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optimize MRI hardware tailored for compact magnets with highly nonuniform magnetic fields • Using computer simulation, adapt MRI pulse sequences to address field inhomogeneity • Perform experimental
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reconfigurable RF hardware for CAP-MIMO systems and contributing to machine learning-enhanced ISAC methods development through EM-informed modelling and hardware design. This is a unique opportunity to build
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based processors, AI accelerators, and open-source hardware toolchains. The Research Fellow contributes to the University’s mission by conducting high-impact research, developing innovative hardware
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designing and running user studies, building and iterating on hardware and software systems, analyzing data, and writing up results for top-tier venues in mobile computing and human-computer interaction. CMU
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We invite applications for multiple Postdoc positions in the Accelerated Connected Computing Lab (ACCL) at KAUST! The new research group, supervised by Suhaib Fahmy explores hardware acceleration
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Requisition Id 16262 Overview: We are seeking a postdoctoral researcher to work at the intersection of tensor networks, quantum algorithms, scientific computing, topological physics, and quantum