865 data-"https:" "https:" "https:" "https:" "https:" "https:" "University of Exeter" positions at Harvard University in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
information and budget for all revenue & expense categories. Load all data into the budget system and review financial models to ensure accuracy. Assist Financial Manager with preparation of budget narratives
-
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
-
team, manage reimbursements and financial record-keeping for the Faculty Chair or Program Director. Provides data entry, proofreading, information tracking, providing onboarding support, and other
-
of health care markets. The fellow will also have time for their own complementary research, and we will facilitate access to our data sources in support of their research. The fellow will be supervised by
-
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
-
who leverage data, systems, and technology in ways that will help shape overall strategy. The insights, analytics, and systems that help us understand Harvard's alumni community don't just serve
-
leadership, and we are a strong community that values diversity. For more information about HGSE, its programs, research, and faculty, please visit: www.gse.harvard.edu . Job Description The incumbent will
-
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
-
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
-
are not limited to, the following: Develop and enhance universal SAS, R and BASH programs and shell scripts that: Obtain data from Data Management Centers Prepare datasets for subsequent statistical