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that applicants follow the Fellowship (F) instructions in the SF424 (R&R) Application Guide except where instructed to do otherwise (in this FOA or in a Notice from the NIH Guide for Grants and Contracts
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/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); One or more computational environments for statistical analysis (e.g., MATLAB, Stata, R, or Python); Creating and
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, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning; Experience with the analysis
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technique by developing a statistical software (e.g., R package). In addition, he will be involved in the data-analysis through data collection (e.g., collecting satellite images) and analysis. We expect
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or more computational environments for statistical analysis (e.g., MATLAB, Stata, R, or Python); Creating and managing very large datasets; Machine learning skills; Writing papers for management and
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, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning; Experience with the analysis
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Bioinformatics, Computational Biology, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning
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scientific discipline or equivalent experience is required. Additional Qualifications ● Should have a demonstrated proficiency in R and/or Python, or related languages. ● Experience with and solid understanding
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an extraordinarily rich, technology-focused network. This includes DARPA program managers and research performers from leading universities, commercial firms, and non-profit R&D organizations. For early-career
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://www.huttenhower.sph.harvard.edu Basic Qualifications -MSc or Ph.D. degree in Biostatistics, Bioinformatics, Computer Science, Computational Biology, Molecular Biology, Biology/Life Sciences, or related fields. -Proficiency in R