678 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" positions at Harvard University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Technical Leadership Collaborate with data scientists, ML engineers, and software developers to translate business requirements into technical specifications Understand AI/ML fundamentals including model
-
Information Mark Peterson Contact Email mpeterson@seas.harvard.edu Salary Range $67,600 – $91,826 Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training
-
seeking candidates with a PhD in Statistics/Biostatistics for a postdoctoral position. Position involves the development of methodology in the areas of clustered and survival data analyses. The application
-
is research excellence and fit with the lab’s focus. More information on the lab’s research is available here . We especially encourage candidates with proven experience in applying computational and
-
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 Job Summary: The
-
projects through to completion. Additional Information Appointment End Date: December 2026. This is a part-time (with potential for full-time) term appointment starting July 2026 through December 2026 . With
-
, collaboration, continuous improvement and innovation; and open communication and effective information sharing in our daily interactions and our work. AA&D is comprised of the Faculty of Arts and Sciences (FAS
-
, collaboration, continuous improvement and innovation; and open communication and effective information sharing in our daily interactions and our work. AA&D is comprised of the Faculty of Arts and Sciences (FAS
-
review of data collection forms and stratification/randomization of studies; statistical programming; data analysis and monitoring; and report writing under the mentorship and supervision of senior staff
-
and review of data collection forms and stratification/randomization of studies; statistical programming; data analysis and monitoring; and report writing under the mentorship and supervision of senior