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Field
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control laws into Trent gas turbine engines and developed algorithms monitoring fleets of 100s of engines flying all around the world. During the PhD, you will have the opportunity to deeply engage with
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, including GPUs embedded within NHS infrastructure. - Development and deployment of ML operations software and tooling for ML / LLM algorithms working over free-text clinical data and potentially mixed
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software projects, including defining roadmaps, managing implementation of new features, and coordinating multiple developers. Experience working in an academic research environment, particularly quantum
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storytelling skills to produce videos that resonate with diverse audiences across multiple platforms. He/She will need to work closely with different stakeholders across NBS to achieve the intended impact for
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classes on embedded systems programming. Professional Development • Learn the underlying science, mathematics, statistics, data analysis, and algorithms of computational research questions. This may involve
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input needs, accompanied by a boost in algorithmic development, e.g., multi-modal learning, transfer learning, federate learning, and knowledge embedding, etc. However, a significant motivation of
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combination of statistical, quantitative and qualitative methods. Extracts, manipulates, and interprets data using statistical software (E.g., SPSS, R) and SQL-based query applications (e.g., Cognos) Develops
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, it has matured into an established research community seeking automatic, computerized processing of 3D geometric data obtained through measurements or designs. The following developments have shaped
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discovery with a strong emphasis on domain-driven impact. Develop, optimize, and transition algorithm prototypes to robust implementations Work with ORNL researchers, as well as internal and external project
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conditions, identification of vulnerabilities, and development of resilience enhancement strategies. Contribute to the design, development, and implementation of new models, methods, and algorithms