344 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Harvard University in United States
Sort by
Refine Your Search
-
desired. Special Instructions Required materials, to be submitted through the ARIeS portal (https://academicpositions.harvard.edu/postings/15712 ): 1. Cover letter 2. Curriculum Vitae 3. Writing sample
-
languages. Special Instructions Please submit the following materials through the ARIeS portal (https://academicpositions.harvard.edu ). Candidates are encouraged to apply by February 28, 2026; applications
-
of and experience with quantitative methods (simulation modeling, optimization, and machine learning) preferred This is an annual term position reviewed each academic year on or before June 30th, with
-
) Description: Apply Description Join us as a postdoctoral fellow in Professor Susan Murphy’s Statistical Reinforcement Learning Group. Our research concerns sequential decision making in digital health
-
management skills. Learn more here: https://itacademy.harvard.edu/ . Job Description Reporting to the Service Owner, CRM Consulting Services, the Salesforce Developer supports a fast-growing University-wide
-
an inclusive community of dedicated problem-solvers who hold themselves - and one another - to the highest academic and professional standards. To learn more about us, please visit https://seas.harvard.edu
-
through the ARIeS portal https://academicpositions.harvard.edu/postings/15941 . Candidates are encouraged to apply by 27 March 2026; applications will be reviewed until the position is filled. 1. Cover
-
! Harvard FCU: https://harvardfcu.org/ Job Description Responsible for a comprehensive array of Member Services Representative (MSR) duties: Processes; transactions: deposits, withdrawals, loan payments, etc
-
Please submit the following documents through the ARIeS portal https://academicpositions.harvard.edu/postings/15911 Candidates are encouraged to apply by March 21st, 2026; applications will be reviewed
-
supervision and mentorship of Dr. Zitnik, the Associate will: 1) Explore and learn about state-of-the-art techniques for constructing, maintaining, and contextualizing biomedical datasets by reviewing recent