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data governance, and contribute to policy and ethical frameworks for responsible AI use. Skills and experience required We are seeking an accomplished AI researcher with substantial experience leading
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is a research project focusing on transforming urban food systems for planetary and population health. The postholders will conduct data analysis and prepare papers for publication using already
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Kids in Scottish prisons. The successful candidate will significantly contribute to data collection, data analysis, write-up and dissemination of results. They will collaborate with the Scottish Prison
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AI/ML models for predicting materials properties using data-driven approaches, including the treatment of disordered inorganic materials. Develop codes as necessary to assist existing and new code
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, microbial cultures, and cleaning validation samples. Develop data analysis pipelines for Raman spectral classification, potentially integrating machine learning methods. Research & Project Responsibilities
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About the job: 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
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publication record in reputable journals (published more than 3 journal papers) Good English writing and communication skills - essential for data analysis and communication with stakeholders Demonstrated
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | about 9 hours ago
will generate critical safety and efficacy data to inform regulatory evaluation of these emerging therapeutic modalities. Learning Objectives: If selected, you will have the opportunity to: Develop
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. Significant relevant research experience working on a project that relates to health and social care research Experience in quantitative and qualitative data analysis Good understanding of the key issues and
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Packages, developing partnerships with schools, project partners and other groups, and using mixed methods to collect and analyze new data and synthesize existing data sets. The four Work Packages focus on 1