712 data-"https:" "https:" "https:" "https:" "https:" "University of Minho" positions at Harvard University
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for Planning and Management to help reimagine and build the next generation of legal information infrastructure and law library organization. At Harvard Law School Library, we collect the world's most
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, United States of America [map ] Subject Areas: Computer Engineering / Cloud Computing , Cybersecurity , Software Biomedical Sciences / biochemistry , cancer , development , genetics , genomics , infectious disease , RNA
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work as part of a larger team to assist with collecting and analyzing data gathered from human subjects, both in field, clinic and lab studies as part of evaluations of the technology. A large part of
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multimodal datasets, with data ready to analyze you can focus on developing research findings resulting in publication.Responsibilities include:Research and translate exposome data science into real-world
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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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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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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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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