475 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" uni jobs at Harvard University in United States
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to analyze single cell cross-sectional data, such as single-cell omics, cellular electron microscopy, and optical microscopy data sets. Additional work may entail integrating large-scale cross-sectional data
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-time Research Assistant II (RAII) wanted in the laboratory of Professor Randy Buckner. Job Specific Responsibilities: The RA II’s primary responsibilities include: (1) data acquisition using behavioral
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students. Managing the facilitation and coordination of information among Harvard’s Schools in support of student-focused initiatives. Analyzing and synthesizing data into coherent and accurate presentations
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Research & Analytics will lead the Office of Institutional Research & Analytics (OIRA), a core function of the Office of the Provost that supports Harvard’s leadership by providing institutional data
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sensor technologies and other diagnostic tools, and the application of data science. We are working to develop and improve the methods of quantifying environmental exposures and health risks in ways
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fundamental mechanisms of ribosomal frameshifting and/or prion-like phenomena in bacteria. The research assistant will carry out experiments working closely with lab members and they will collect data using a
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for HUDS set by the Managing Director. The role modernizes processes, reduces operational and compliance risk, strengthens data-driven decision-making, and ensures seamless execution across all HUDS units
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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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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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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