734 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" "UNIV" positions at Harvard University
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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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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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-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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their application contact information for three references from experts at the ladder faculty ranks or highly accomplished senior researchers from corporations or research institutes. Please include the following
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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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developing next-generation AI methods for healthy climate adaptation. The position will focus on building and evaluating foundation models for large-scale spatiotemporal health and environmental data. Our team
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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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, machine learning and AI, statistical computing, big data and AI applications and prediction in biology, medicine and infectious diseases. Potential research projects include (but are not limited