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Undertaking analyses, critical evaluation and interpretations of historic bridge data, (both static and dynamic data) Expertise in finite element modelling of bridges Designing laboratory scale bridge
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of hardware-constrained edge devices, investigating how hardware acceleration can be leveraged by adversaries to compromise AI systems' robustness. The role involves designing secure AI accelerators, analyzing
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machine learning, and for precision-aware scheduling in distributed systems. They will design, develop and refine a software prototype system for distributed serving of machine learning models that leverage
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delivery of antitubercular drugs. This post is available for 12 months. Design, synthesise and characterise peptide-mimetic hydrogelator platforms suitable for the sustained parenteral delivery