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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
statistics Familiarity with transport modeling Excellent verbal and written communication skills Experience with imaging and biochemical techniques such as PCR or Western blot Preferred Qualifications
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Medicaid and/or Medicare data, a deep understanding of analytical methods and statistics, and advanced programming skills are therefore desired. The role will also involve serving as an author on selected
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of statistics is preferred. Experience with experimental work and molecular ecology methods is an asset. The candidate must demonstrate proven ability in independent scientific research and skills in writing
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We are seeking to appoint a Postdoctoral Research Associate to join the Oxford Protein Informatics Group (OPIG) in the Department of Statistics at the University of Oxford. You will contribute
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management databases; applying statistical methods to identify the main factors driving yield gaps; estimating productivity frontiers and crop responses to management practices; developing agronomic
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collection, curation, quality assurance, and statistical analyses using clinical databases and research datasets Perform systematic reviews, pairwise meta-analyses, and network meta-analyses in accordance with
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of these interactions into soil and ecosystem models. Depending on the selected candidate, the research project can focus on statistical analysis of literature data, process-based modelling, or a combination of the two
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of the University’s campuses. These reports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and
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tests requiring a high degree of proficiency. Troubleshoots problems and recommends solutions using IRB and human study research knowledge and compliance. Evaluates study results using statistical and
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data. Statistical analysis using R and/or Python. Reproducible computational workflows. Scientific writing and publication. Microbiome research and host-associated microbial communities. The ideal