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Field
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of business models, the data economy, ecosystems, various business support platforms and platform technologies. Depending on the applicant’s profile, the open position may be located in any of these three focus
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the Electrochemical Engineering Science Group and work within Dr Daniel Niblett's team on the five-year UKRI EPSRC ION-H2 Fellowship. The programme combines computational modelling, machine learning
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drugs, and related ontologies. • Design components of the AI pipeline for enrichment and reasoning over technical life sciences data using large language models (LLMs). • Manage the storage and retrieval
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and decision support for railway operations and maintenance. The successful candidate will work on developing, testing, modelling, and validating methods for DAS-based monitoring of railway
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recirculating flumes, velocity measurement systems, spectroscopic tools, and numerical modeling platforms, to investigate hydrologic and sediment processes. Works closely with USGS scientists and University
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research focus may include the following areas: Fine-tuning of large language models on rewards derived from social interactions or collective outcomes Evolutionary adaptations of AI agents in social
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intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology. For more details, please view https://www.ntu.edu.sg
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intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology. For more details, please view https://www.ntu.edu.sg
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intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology. For more details, please view https://www.ntu.edu.sg
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knowledge of deep learning architectures and, in particular, Large Language Models (LLMs). Knowledge is valued both in advanced prompt engineering techniques (e.g. few-shot learning, chain-of-thought