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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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train robust machine learning (ML) algorithms without exchanging the actual data. The benefits of such a decentralized technology over personal and confidential data are multiple and already include some
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operations research, operations management, statistics, and economics; and it would be ideal preparation for a PhD program or other graduate study. The Staff Associate duties involve work in one or more of the
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technologies promise to revolutionize multiple branches of science by solving problems that cannot be tackled by classical systems. While efficient and large-scale quantum computers are still far from being
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automated recovery algorithms, improving system resilience. Research Areas for Master’s and PhD Students AI-Enhanced Resource Forecasting and Optimization: Research Focus: Developing and testing ML algorithms
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. This position will be on-site. The successful applicant will have broad responsibility for providing technical direction on multiple projects conducted by the lab as well as leading projects of their own
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procedures (e.g., multilevel modeling, longitudinal data analysis, machine learning algorithms), cleaning and structuring large datasets, validating model assumptions, and ensuring reproducibility. Synthesizes
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-innovator-year-marc-bretons-surprise-journey-diabetes-pioneer The CDT is directed by Boris Kovatchev, PhD, a world-renowned researcher in the field of Diabetes, algorithm development and data science. Dr
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multiple assignments, and communicating clearly to a broad group of collaborators. PREFERRED QUALIFICATIONS PhD degree in Neuroscience or other related field and the ability to teach scientific concepts
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planning algorithms to re-route or schedule multiple vehicles to minimise the impact on the efficiency and safety. This PhD position is related to a 2-year project funded by SESAR, involving various partners