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be directly involved in data collection, design and development of codebooks, computer-assisted team analysis (e.g. Dedoose). Fellowship will provide the successful candidate with opportunity to engage
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years of experience with Python, MATLAB, and/or R program. Experience applying UNIX skills. Experience with machine learning – pytorch or the likes ming language. Experience with fmriprep, dtiprep
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. The candidate will work on various projects in computational genomics, comparative, and evolutionary genomics. Job Description: Required Qualifications: Education: PhD in Computational Biology, Bioinformatics
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