7 algorithm-"Multiple"-"Integreat--Norwegian-Centre-for-Knowledge-driven-Machine-Learning" positions at Johns Hopkins University

  • Johns Hopkins University | Washington, District of Columbia | United States | 16 days ago

    dialogue on AI governance. Manage multiple projects simultaneously, ensuring timelines are met and resources are effectively allocated. Collaboration & Knowledge Exchange Collaborate with policymakers

  • Johns Hopkins University | Gaithersburg, Maryland | United States | 11 days ago

    engineering systems analysis/optimization, or computational algorithms §  Familiarity with multiple computer languages, including Python. §  Ability to develop prototypes of tools needed to analyze data. Â

  • Johns Hopkins University | Baltimore, Maryland | United States | about 2 months ago

    manages multiple projects of varying complexities. Based on expert technical knowledge, skills and experience, develop broad-based solutions involving multifaceted technologies, and business processes

  • Johns Hopkins University | Baltimore, Maryland | United States | 23 days ago

    , aggregating them across multiple, pluralistic values if necessary, and fine-tuning models to satisfy those preferences. In the Normativity Lab we believe these approaches are likely to prove too limited

  • Johns Hopkins University | Baltimore, Maryland | United States | about 2 months ago

    manages multiple projects of varying complexities. Based on expert technical knowledge, skills and experience, develop broad-based solutions involving multifaceted technologies, and business processes

  • Johns Hopkins University | Baltimore, Maryland | United States | about 2 months ago

    and possible refinement of source data and integration algorithms. Monitors various data sources and reports to prioritize and expedite incorporation into the database. Conducts mass data loads by

  • Johns Hopkins University | Baltimore, Maryland | United States | about 1 month ago

    life support system detailed in the research program. The project will include use of sensors, control algorithms, and computer simulations of clinical disease to inform development of an automated form

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