293 evolution-"https:"-"https:"-"https:"-"https:"-"University-of-Kent" positions at Carnegie Mellon University
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Institute’s mission as a federally funded research and development center (FFRDC) sponsored by the U.S. Department of War. This position combines hands-on financial analysis with team leadership
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the development of microfabricated devices and integrated measurement systems from concept through validated laboratory demonstration for an exciting project on microneedle-array-based diagnostics. In this role
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, engineering, and development responsibilities as assigned by the supervisor Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can
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evaluation, and technical advisory. Position Summary As an Assistant Machine Learning Engineer in the Frontier Lab, you will be a technical contributor supporting applied AI research, prototype 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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demonstrates the application of AI-related technologies for improving the performance of autonomy systems. Duties: Solution Development: You’ll work with and lead interdisciplinary teams to turn research results
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engineering soundness. Conduct research, experimentation, and present knowledge-sharing initiatives to enhance software development processes, demonstrate analytical capabilities, and foster a comprehensive
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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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, experimentation, and present knowledge-sharing initiatives to enhance software development processes, demonstrate analytical capabilities, and foster a comprehensive understanding of system-of-systems (SoS