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industry, research and civil society network. Its priority domains for public engagement are news and media, transport, social services and health. Learn more about the ADM+S Centre here: https
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methodological development and research capability · contribute actively to national and international research networks, including ICU research groups, clinical trials collaborations, and groups focused
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uncertainty in AI systems operating on complex, heterogeneous data. Contributing to open, reproducible research practices within CAIR. A prerequisite for employment is that the candidate is to be admitted
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communication skills, with the ability to translate complex economic evidence for academic, clinical, policy, and public audiences. Experience contributing to NIHR or other competitively funded research
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by building new AI tools that can work alongside human analysts. Intelligence analysts are routinely required to make high-consequence, defensible assessments from vast, complex and uncertain datasets
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lifecycle. Clear and effective communication skills, with the ability to translate complex economic evidence for academic, clinical, policy, & public audiences. Experience contributing to NIHR or other
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by building new AI tools that can work alongside human analysts. Intelligence analysts are routinely required to make high-consequence, defensible assessments from vast, complex and uncertain datasets
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for hydrogenation and dehydrogenation reactions. The successful candidate will select and synthesise ligands and organometallic complexes from the library, including pincer ligands, and evaluate their catalytic
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decision agents based on graph neural network or similar will an advantage. Key Competencies Good knowledge in reliability analysis. Experience in FMECA and equipment health management will be advantageous
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the Infocomm Technology cluster at SIT. This project addresses the critical challenge of delivering real-time Artificial Intelligence (AI) services in Internet of Things (IoT) networks, where latency and