352 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"I.E" positions at Harvard University in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
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
-
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
-
: 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
-
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
-
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
-
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
-
, 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
-
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
-
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
-
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