242 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Carnegie Mellon University
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-authoring technologies. Development and design of instructional videos and visuals that leverage multimedia for learning best practices. Providing 1:1 teaching consultation on: (1) selection of technologies
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, cognitive psychology, or cognitive science. Master’s Degree preferred. Experience working on education or education technology research and development projects. Strong analytical, communication, and problem
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, and produce actionable recommendations. Prototype capability development: Build research prototypes, evaluation harnesses, and reference implementations that demonstrate feasibility and generate
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work environment. We are seeking creative and upbeat Research Associate I that will assist in the development and execution of research projects including experiment design, analysis of data collected
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aid program management, loan administration, and cross-departmental collaboration. This position supervises staff, coordinates with internal and external partners, and contributes to policy development
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optimally with customers, co-workers and other professional colleagues, managers, and staff. Location Pittsburgh, PA Job Function Software/Applications Development/Engineering Position Type Staff – Regular
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is comfortable across the full stack (data pipelines, model development, API services, and secure deployment) and eager to explore novel AI and ML theory while delivering mission‑scale capabilities
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the gathered data. It may also include development of research methodology as well as writing reports which contain descriptive, analytical, and evaluative content. Further, the candidate will assist in
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that develops and uses best-in-class tools to enable end-to-end software development? If so, we want you for our team, where you’ll be part of an exciting and impactful culture of collaboration
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development center (FFRDC) at Carnegie Mellon University. What you’ll do: Develop state of the art approaches for analyzing robustness of AI systems. Apply these approaches to understanding vulnerabilities in