7 algorithm-development-"Multiple" positions at Johns Hopkins University

  • Johns Hopkins University | Washington, District of Columbia | United States | 14 days ago

    research initiatives that analyze the impact of AI technologies on social systems and design innovative methods for adapting economic and social governance to AI development. A special focus will be

  • Johns Hopkins University | Gaithersburg, Maryland | United States | 9 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 1 month 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 | 21 days ago

    Baltimore, MD, or Washington, DC , to investigate the foundations of human normativity and how these insights can inform the development of AI systems aligned with human values. The ideal candidate will have

  • 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 1 month ago

    Development and Alumni Relations (DAR) supports Johns Hopkins’ focus on research, teaching and patient care, and its role as a national and global leader in higher education. We create and foster

  • 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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