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Field
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, SAS, or other statistical software programming languages. Working knowledge of regulatory guidelines related to statistical analysis. Strong ability to manage multiple projects and conflicting
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The PhD position is embedded within the MICRO-PATH Doctoral Training Programme, funded by the Luxembourg National Research Fund. MICRO-PATH, or Pathogenesis in the Age of the Microbiome (https
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preferably a PhD (or significant progress towards a PhD) in Statistics or a related discipline, with expertise in applied/computational statistics. Proficiency in statistical programming languages such as R
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operational insight. Provides statistical support in the development of the study synopsis, protocol, statistical analysis plan, clinical study report, and other regulatory submission documents, ensuring
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of biogeography, ecology, and global change research. The applicant is made aware that an application for a PhD position at NMBU is at the same time an application for admission to a PhD programme at the
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for this position, the applicant must have completed a PhD within Mathematical statistics or equivalent. The position requires at least five weeks’ training in teaching and learning in higher education or
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of minimum 4 years of tertiary study and preferably a PhD (or significant progress towards a PhD) in Statistics or a related discipline, with expertise in applied/computational statistics. Proficiency in
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live in. Your role The PhD position is embedded within the MICRO-PATH Doctoral Training Programme, funded by the Luxembourg National Research Fund. MICRO-PATH, or Pathogenesis in the Age of
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encourage you to apply if you have some of these qualifications: The successful candidate will have most of the following: A PhD or equivalent in Statistics, Data Science, or a related quantitative field
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to monitor and model ecosystem and biodiversity change. Advanced skills in statistical programming and modeling. Geospatial data analysis. Familiarity with ecosystem models. - Development of an integrated