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grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: Conduct research in world models, large
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PhD degree in Natural Sciences, Climate Science, Geography, Data Science, Engineering, or a related field. Minimum 3-year postdoctoral research experience. Skills: Handling and analysing large
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Experience analysing large datasets and applying data-cleaning techniques along with performing statistical analyses leading to the understanding of the structure of datasets Machine Learning & AI: Train
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emerging technologies. Sustainability is a top priority for SC3DP, which offers material development and control services that combine artificial intelligence, big data, and other digital tools for process
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, exploration, and descriptive analyses under mentor supervision. 5) Gain experience with large, complex health datasets while learning best practices for data quality, documentation, and reproducible analyses. 6
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
appointment for a period of two years (24 months) to contribute to research in artificial intelligence, with a particular focus on large language models and their applications. Applications are particularly
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improvements can be made. About the role In this role, you will work closely with a team of NHS service data engineers and analysts and university researchers to develop large, linked datasets, based
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inference Familiarity with administrative register data or other types of big data Familiarity with R, Stata, Python, or other relevant computing languages Documented research experience or educational
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single-cell transcriptomics (scRNA-Seq, TOTAL-Seq) and phospho-/proteomics. Large-scale data analysis is supported by an experienced bioinformatician within the laboratory. Further information is available
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to analyze large multi-modal datasets and/or who wish to deploy the next generation of exposome AI models. These positions come with data ready to analyze: the candidate can focus on developing research