734 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" "UNIV" positions at Harvard University
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data using python. Report results using a variety of scientific, word processing, and presentation platforms. Maintenance and cleaning of additional laboratory equipment and glassware. May instruct other
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flexible measurement tools and will use advanced knowledge of quantitative research methodologies and data science techniques to manage, extrapolate, and analyze research data. The ideal candidate has a
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submit with their application contact information for two to three references from experts at the ladder faculty ranks or highly accomplished senior researchers from corporations or research institutes
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with recordkeeping and retention policies. Helps identify and resolve discrepancies, errors, or incomplete information, and prepares correcting entries or journals under supervision. Coordination and
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The Walsh lab is seeking a Fellow to assist with data collection and processing for lab and field based studies of wearable robots. The Fellow should be a collaborative problem solver who is proficient
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for the following tasks: Data collection and analysis: Collection and organization of quantitative data, cleaning and merging of datasets, design and production of tables and figures, and literature reviews. Writing
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collaborative and international environment. Special Instructions Contact Information For further information, please contact petros@seas.harvard.edu . Contact Email lreck@seas.harvard.edu Salary Range $67,600
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integrity. Identify errors and glitches and address accordingly. Coordinate new title setup with key stakeholders. Input and update data in select Biblio modules to ensure accuracy. Onix Feed and Cover
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trial and observational study review, design and review of data collection forms and stratification/randomization of studies; statistical programming; data analysis and monitoring; and report writing
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of molecular biology and next generation sequencing is highly preferred. 3. Familiarity with single cell data analysis is preferred, but not required. 4. Ability to work independently as well as part of