95 parallel-processing-bioinformatics "Multiple" Fellowship positions at Harvard University
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to manage multiple projects simultaneously, meet deadlines, and work independently Proven ability to work with diverse international communities Ability to work with diverse stakeholders to achieve shared
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, bioinformatics, biostatistics, molecular microbiology, computer science, and software development. PRINCIPAL DUTIES AND RESPONSIBILITIES (Essential Functions) Facility with analytical methods for microbiome data
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on Institute needs. Newly constructed office and laboratory space in Boston’s Fenway District. Our space has multiple amenities which include: roof top terrace, fitness center, locker room, bike storage, and
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communication. Additional Qualifications Experience with bioinformatics is strongly encouraged. Special Instructions Letters of recommendation are not required at the time of application; however, letters will be collected
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understanding the intricacies of plant chemistry and biology. Research in the Nett lab spans multiple, distinct projects that are all unified by the chemistry of plants, including: 1) evolutionary and biochemical
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on Institute needs. Newly constructed office and laboratory space in Boston’s Fenway District. Our space has multiple amenities which include: roof top terrace, fitness center, locker room, bike storage, and
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. Ideal candidates will have demonstrably strong research skills, evidenced by multiple publications in top-tier machine learning or artificial intelligence conferences and/or leading scientific journals
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scientific development and for contributing to pioneering research. Specifically, the fellow will apply as well as develop code to process and analyze mycobacterial molecular and phenotype data. Including code
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contributions to research via peer-reviewed publication record Experience with bioinformatic analysis of single cell RNAseq and/or ATACseq datasets Experience with organoid culture Experience with genetic screens
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data analysis, contributing to research dissemination, and mentoring lab members along the way. With a combination of wet lab techniques and cutting-edge bioinformatics tools, you’ll explore novel