823 data "https:" "https:" "https:" "https:" "UNIV" "UNIV" positions at Harvard University
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risky. We prefer to use the word “challenging,” and we love challenges. For more information, discover our technologies , catch up on our recent news , or watch our latest videos . About this Role
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. Relevant knife skills. Previous experience working in a University environment preferred. Additional Information Standard Hours/Schedule: 32 hours per week, Sunday - Saturday Flexible Schedule, 6.4 hours per
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. Relevant knife skills. Previous experience working in a University environment preferred. Additional Information Standard Hours/Schedule: 35 hours per week, Sunday - Saturday Flexible Schedule, 7 hours per
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the field and potential for significant contributions to the department, University, and wider scholarly community. Special Instructions Please submit the following materials through the ARIeS portal (https
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commitment to teaching is desired. Special Instructions Please submit the following materials through the ARIeS portal (https://academicpositions.harvard.edu ). Candidates are encouraged to apply by February
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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
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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
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Manage and track all inbound leads, including entering information into Salesforce Exercise judgment to decide which opportunities to move into the pipeline for pursuit Decide which opportunities to refer
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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
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and vision for HUDS set by the Managing Director. The role modernizes processes, reduces operational and compliance risk, strengthens data-driven decision-making, and ensures seamless execution across