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, implementation, and reporting of research and evaluation studies. Contributions to scientific reports, conference papers and journal articles are expected, including documentation of method
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, and grant proposals are expected, including documentation of method, presentation of data, and participation in interpretation of results. Lead and participate in collaborative projects and contribute
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computational method development, data analysis, and experimental design. Integrate information from high-throughput screens, proteomic data, and next-generation sequencing data to generate and
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University of Manchester. You will be responsible for: Design and deliver mixed-method research on the adoption and impact of AI tools in a large complex organisation, under the guidance of the Principal
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doctoral degree in population health OR a research-focused social or behavioral science field. This position requires a formal degree in the cited discipline area(s) to ensure that candidates have advanced
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. Your primary tasks will be to: Develop a processing framework for SWOT altimetry over the Greenland Ice Sheet, including a method to identify and correct geolocation offsets between repeat passes
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regulatory submissions LEAD THE DEVELOPMENT of a method for researching and communicating changes and meaningful trends in the regulatory environment in the US and pertinent international
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compliant COLLABORATE with Regulatory Operations team members to establish and meet timelines for regulatory submissions LEAD THE DEVELOPMENT of a method for researching and communicating changes and
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position will involve method development and experimental problem-solving. We therefore particularly welcome applicants who enjoy developing and establishing new experimental approaches rather than
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by the Lab are typically multi-method, use novel administrative data, and involve computational social science methods . The postdoctoral researcher will collaborate on multiple research projects