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cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and
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lead analyses of large-scale datasets, applying advanced computational and statistical methods to integrate multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a
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expertise in collecting and analyzing high-quality nutrition data from children and families, leveraging large datasets, and applying cutting-edge technologies, including artificial intelligence (AI) and
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public health, health policy, health services research, data science, epidemiology or a related field. Strong data analytic skills, including experience with SAS and/or R. Excellent writing and
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The Research Fellow will work within the Northern Ireland Cerebral Palsy Register (NICPR) and the School of Nursing and Midwifery. The role involves working on high-impact data linkage project
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that contribute to new breeding tools and accelerates discovery. The position will offer opportunities to explore several approaches to solve the optimisation strategies including simulation-based, big data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
diversity and brings together expertise in software engineering, big data, clinical informatics, and medicine. Key Responsibilities Collaborate with researchers to design, develop, and refine large language
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investigating adaptive neural circuits underlying distinct forms of behavioural flexibility. The postholder will be responsible for designing, developing, and operating advanced large-field or multi-brain region
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, and radiation. Research activities would include contributing to experiments using the Europa Tower (Stone Aerospace Facility) to provide cryogenic temperatures, hard vacuum, a large ice column, and
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multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a team with a strong track record in Big Data analytics in child mental health, helping accelerate the move toward