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of vascular dysfunction and aging in the progression of chronic lung diseases. Planning, implementation, and analysis of advanced scientific research projects - Interprets data, statistical and data analysis
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to develop and apply novel computational methods for processing and analyzing these data that are both statistically rigorous and scalable to the volume of data being generated. In addition, semantic
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, maintaining record systems, and producing project reports for studies. In addition, may supervise clinical research staff or clinical data managers, perform complex statistical analysis, and work with
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Finance Coordinator (CRFC) responsible for coordinating and executing the financial billing of clinical trials. You are responsible for the calculation of statistical, fiscal, and metric data as it relates
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of statistical research will be given full consideration. We are particularly interested in candidates with collaborative research interests in study design and analyses of therapeutic and non-therapeutic
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strong background in programming or statistics together with a familiarity with bioinformatics tools. No wet lab or laboratory experience is desired or required. All projects are jointly supervised by
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, or full Professor) with a Ph.D. and/or M.D. in Computational Biology, Bioinformatics, Genetics, Genomics, Statistics, or a related field for the following two positions: Molecular Epidemiologist: Candidates
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., DNA-seq, RNA-seq, metabolomics, proteomics). • Preference will be given to candidates with experience in integration of multi-omics data. • Programming experience in statistical program R and/or
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hypotheses and rigorously quantify results, including model building and statistical analysis. Regularly present research plans and findings in a clear, concise manner to both general and specialized audiences
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non-science subject with demonstrated maths or statistics experience. To apply: please submit your CV and cover letter. Springer Nature is a Disability Confident Committed Employer and we encourage