595 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at Harvard University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
communities. Through dynamic and collaborative partnerships, CADM provides high-quality and efficient services to the schools to help them achieve their goals. Harvard University Health Services Harvard
-
. Respond to inquiries and meet with potential site supervisors to share general information about the Program and things to consider as a future HDS accredited site. Assist with Supervisor Course Info
-
treatments to test mechanisms related to perceived competence and impartiality. The Pre-Doctoral Fellow will assist with cleaning the endline data and contribute to empirical analysis and research outputs
-
for program collaboration. Organizes MEI student-focused activities and events. Works with confidential information to assemble and manage guest lists, biographies, and briefing materials for high-level events
-
team of physicians, health policy researchers, health economists, biostatisticians, and data science experts across the Harvard T.H. Chan School of Public Health and Harvard-affiliated teaching hospitals
-
, 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
-
in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong research skills, evidenced by high-quality publications
-
sophistication, including strong statistical skills and comfort with large-scale or complex data. Experience with computational text analysis, such as NLP methods, historical text processing, topic modeling
-
builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive. Why join the Harvard Faculty of Arts and Sciences? The Faculty of Arts and Sciences
-
trusting, professional relationships with internal and external collaborators, including data administration staff, program staff, and principal investigators. Ensure the quality and reproducibility