326 parallel-and-distributed-computing-phd-"Multiple" positions at Harvard University
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census at multiple locations, cataloguing known natural or man-made aerial objects. We will generate testable, data-driven hypotheses to characterize any novel class discovered during this census, or else
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and Sciences (FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs
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Service Center to develop and implement Parking Services policies & procedures to ensure fair and equitable distribution of parking opportunities and enforcement guidelines. Manages all aspects of customer
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applications from recent PhD graduates who are interested in these or related fields, particularly those who may bring a new technology or perspective to bear on the work in the lab. The successful candidate
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the absence of the Sr. Director, serves as secondary contact for disability related student crises and urgent matters, updating the Associate Dean for Degree Programs, Program Director’s, and others as needed
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courses per academic year, organizing and participating in extracurricular activities, and regularly updating course materials. Administrative duties include participating in departmental and program
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Services Physical Requirements: Ability to pull materials on and off shelves Ability to lift 40 lbs. Ability to work at a computer for extended periods of time (up to 7 hours per day) Ability to push a book
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or PhD graduates interested in this field. In addition to carrying out a jointly designed research project, the successful candidate will be expected to apply for fellowship funding, contribute
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responsible experience in program leadership, student engagement, public service, or related fields. Additional Qualifications and Skills: Master’s degree preferred. Strong leadership experience and people
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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be