418 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Edinburgh Napier University" uni jobs at Harvard University
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submit the following materials through mathjobs.org: https://www.mathjobs.org/jobs/list/27619 All applications received by December 1, 2025 will receive full consideration. Please submit the following
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builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive. The Digital Data Design Institute at Harvard (D^3) is a global research center that
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research compliance environment. This position will directly support this work. As a member of the Research Computing and Data Services (RCDS) team in Library and Research Services (LRS) at the Harvard
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Institutional Research & Analytics (OIRA), part of the Office of the Provost, supports Harvard’s leadership by providing institutional data analysis and reporting. OIRA serves as a trusted resource for
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communities. Through dynamic and collaborative partnerships, CADM provides high-quality and efficient services to the schools to help them achieve their goals. Job Description Job Summary: Labor Relations Data
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: Participate in the design of software that supports and enriches research productivity and reliability; implement software solutions. Develop software and data services with researchers to ensure that modern
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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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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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-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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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