702 parallel-processing-"https:" positions at Harvard University

  • Harvard University | Cambridge, Massachusetts | United States | about 9 hours ago

    research and recent publications, see the Geometric Machine Learning Group’s website: https://weber.seas.harvard.edu/ . For questions, please email mweber@seas.harvard.edu Applications will be reviewed on a

  • Harvard University | Cambridge, Massachusetts | United States | 17 days ago

    preferred. Familiarity with domain classification, natural language processing, or query detection methods is desirable. Experience integrating behavioral data with survey or administrative datasets is a plus

  • Harvard University | Cambridge, Massachusetts | United States | about 10 hours ago

    Instructions Please submit the following materials through the ARIeS portal. The application review process will begin on MARCH 16, 2026 and will continue until the position is filled. 1. Cover letter. 2. Resume

  • Harvard University | Cambridge, Massachusetts | United States | 22 days ago

    large-scale events. The role includes supporting all learning formats by verifying the functionality of AV technology and ensuring that all users are trained and comfortable with its operation. Operating

  • Harvard University | Cambridge, Massachusetts | United States | about 1 month ago

    process reimbursements. Some evening and weekend work may be required as dictated by the events' schedules. What you'll do: Coordinate all logistical aspects of assigned events, including venue booking

  • Harvard University | Cambridge, Massachusetts | United States | 28 days ago

    of public benefits, and generative AI-based tools. Leverage recent breakthroughs in machine learning and natural language processing to build, test, and deploy advanced algorithmic tools that underpin

  • Harvard University | Cambridge, Massachusetts | United States | about 1 month ago

    and helps company stakeholders understand the award process. Works closely with faculty to develop award materials including scope of work, budget, and budget justification. Understands resource

  • representing HUDS, maintains a positive working relationship with students, faculty and guests of the University. Operates Micros and/or Blackboard workstation. Swipes all ID cards as required. Processes all

  • generative AI-based tools. Leverage recent breakthroughs in machine learning and natural language processing to build, test, and deploy advanced algorithmic tools that underpin rigorous empirical research in

  • ; provides a 24/7 facilities-related call, alarm monitoring, and dispatch center; and provides engineering and technical services. This position is responsible for the safe and efficient operation of two

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