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research team. In recent years, the life sciences have experienced an explosion of data from a variety of sources, including genomics, transcriptomics, proteomics, and imaging technologies. While statistical
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Python and Matlab are strong merits. Documented knowledge in statistics, especially programming with R, as well as bioinformatics and genome analysis is meritorious. You should be highly motivated and able
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machine learning algorithms, statistical analysis methods, distributed learning, and discrete optimization, is desirable. Additionally, experience in software development, configuring experimental testbeds
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