383 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at Carnegie Mellon University
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curious to deliver work that matters, your journey starts here! The Ray and Stephanie Lane Computational Biology Department (CBD) at Carnegie Mellon University is renowned for its interdisciplinary approach
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of purpose) to speed up admissions decisions. Ensures the use of technology within the Admissions function is optimized, integrated, and scalable to the greatest extent possible. Periodically reviews and
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Systems (S3D) is one of the seven academic departments of the Carnegie Mellon School of Computer Science (SCS). S3D hosts the SCS PhD programs in Software Engineering (SE) and Societal Computing (SC), along
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of Client Services will partner with stakeholders across Carnegie Mellon University, shaping and prioritizing the technology services provided to enable and support university wide research, teaching and
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) content and announcements Track assignment submissions Coordinate logistics for activities, speakers, or simulations Support classroom technology or instructional tools Student Engagement: Foster supportive
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: 2024059 About the role The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and process improvement. The SEI
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: 2024058 About the role The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and process improvement. The SEI
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At the National Robotics Engineering Center (NREC), every team member plays a vital role in our collective success. Members of our support staff work closely with leadership, technical experts, and
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SEI advances software engineering principles and practices and serves as a national resource in software engineering and computer security. The SEI works closely with academia, defense and
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algorithms to analyze and recognize multimodal human behavior in real world settings (e.g., Affective Computing, AI for Healthcare: pain measurement, monitoring mental health disorders). The successful