443 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "P" positions at Harvard University
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of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes of collective
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in touch and learn about future opportunities! https://www.gem.com/form?formID=16341e35-cbc6-4904-88a3-09b35763307e Work Format Details This position has been determined by school or unit leaders that
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catered functions; utilizes and maintains computerized food program. Maintains recipe database. Assures compliance with bargaining unit agreement; provides appropriate progressive discipline. Knowledgeable
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board program as applicable) are executed smoothly, providing maximum customer satisfaction to students, Faculty Deans, faculty and University guests while also facilitating a unified, mutually supportive
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and mentorship of this program. Maintains NATABOC certification; Massachusetts State licensure; and CPR/First Aid certification. Compliance: Adheres to the expectations and professional responsibilities
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or computational research, the successful candidate will be expected to apply for fellowship funding, contribute to the writing of grants and manuscripts, participate in teaching and mentoring of lab members as
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initiatives. Provide after-hours support as needed to maintain system availability and business continuity. Abide by and follow the Harvard University IT Code of Conduct (https://huit.harvard.edu/it
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Exceptional organizational, project management, interpersonal, presentation, and writing skills An ability to plan and meet deadlines, work independently and effectively as part of a team, have a strong work
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operate motorized and manual equipment including, but not limited to hand trucks, pallet jacks, etc. Must have basic computer skills and ability to learn various business applications. Must be able
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years of related experience, education beyond high school may count toward experience. Experience in Information Science, Data Science, and/or related area of study preferred. Strong knowledge