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advantage Experience with experimental design and application of diverse statistics Experience with bioinformatics in particular handling of large sequencing datasets Grade requirements: The norm is as
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to the challenges posed by analyzing very large data samples, the PhD candidate will gain experience in high performance computing, statistical analysis, numerical methods, and machine learning techniques. By
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, thermodynamics and hydrodynamics. In addition, due to the challenges posed by analyzing very large data samples, the PhD candidate will gain experience in high performance computing, statistical analysis
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researchers with substantive expertise from education, psychology, sociology, economics, genetics and methodological expertise from educational measurement, psychometrics, econometrics, statistics and
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interdisciplinary research projects Experience with computational/statistical methods Personal skills Strong quantitative and analytical skills Independent thinking, creativity, leadership, and mentoring abilities