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methods, advanced survival analysis and causal inference) to utilise this data to address complex health policy questions. As part of the Population Data Science group, the post holder will be supported in
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to appoint a Lecturer in Civil Engineering, who will contribute to our teaching and research predominantly in Structural Analysis and Design. The role includes teaching across our undergraduate and
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
demonstrated expertise in qualitative methodologies and a track record of publishing in peer-reviewed journals. The role includes leading the analysis of qualitative implementation data and documenting
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new research approaches for methodological development, such as stable isotope measurement, sedaDNA analysis, and the use of chemical/molecular biological proxy data. You have management experience
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information about the study can be found here: https://www.healthdata.org/research-analysis/gbd . Purpose of the post We seek a highly motivated researcher with strong quantitative skills, passion for global
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Copoperation in Science, Office for Evaluation Analysis / Research Strategy Inquiry Form: https://forms.gle/4CKA669eamXUtLmf6 Overview The Graduate School of Science, Tohoku University conducts research
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skills and knowledge in the use of data analysis software, specifically the STATA software; Proficiency in the English language (spoken and written); PhD in one of the disciplinary areas relevant
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for this position. Website for additional job details https://www.setu.ie/vacancies Work Location(s) Number of offers available1Company/InstituteSETU CountryIrelandState/ProvinceWaterford CityWaterfordPostal
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appointment. Click to view the Position Description for this role. Applications Close Sunday 05 April 2026 11:59 PM Where to apply Website https://www.timeshighereducation.com/unijobs/listing/407967
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. This will be a full-time faculty position at the rank of Instructor. Remote work considered for highly qualified candidates. Applicants with a background in statistical and computational methods in