776 data "https:" "https:" "https:" "https:" "Ulster University" positions at Harvard University
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presentations and draft sections of research papers Location: Department of Economics, Harvard University, Cambridge, MA Supervisor: Professor Gita Gopinath, website: https://gopinath.scholars.harvard.edu
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with unit leaders to conduct annual utilization reviews and present data-informed recommendations. Cross-CADM Initiatives ("One CADM"): Serve as operational lead for select cross-functional initiatives
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incorporating technology into instruction. Experience teaching specialized topics (e.g., literature, film, media). Special Instructions Please submit the following materials through the ARIeS portal (https
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computational approaches. See our lab web page (https://projects.iq.harvard.edu/gaudetlab ) for more information about our publications and research interests. Basic Qualifications Candidate must hold a PhD in
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. Deadline: March 24, 2026. For further information regarding fields of study and the structure of the program, visit the History and Literature website at http://histlit.fas.harvard.edu. Contact Email histlit
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knowledge of Ancient Maya epigraphy. Experience in a research library, archive, special collection, museum, or comparable environment. Strong computer skills, including experience using relational databases
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on performance. Please take a look at the type of work Prof. Stantcheva does on her website: https://www.stefanie-stantcheva.com/ as well as on her Social Economics Lab website http://socialeconomicslab.org
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Start Date: Between July 1-Aug 15, 2026. Exact date is negotiable. Contact Information: Professor Pragya Sur Department of Statistics Harvard University Maxwell Dworkin 33 Oxford St Cambridge, MA 02138
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Details Title 2026-27 College Fellows (in multiple areas) School Faculty of Arts and Sciences Department/Area College Fellows Program Position Description Please visit https
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addition to carrying out bench research using electrophysiological recording, the successful candidate will be expected to help develop data management software for managing and analyzing large volumes