15 affective-computing-"https:" "https:" "https:" positions at Carnegie Mellon University in United States
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 20-Mar-26 Location: Pittsburgh, PA Categories: Academic/Faculty Internal Number: 183453 The Human-Computer
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to strengthen the security and resilience of computer systems and networks; and The Software Solutions Division, which focuses on improving lifecycle engineering technologies and assuring complex, software
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to strengthen the security and resilience of computer systems and networks; and The Software Solutions Division, which focuses on improving lifecycle engineering technologies and assuring complex, software
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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
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include: Implement and oversee the CMU Grow Initiative for student staff development. CMU Grow is a university-wide high-impact educational practice that aims to make the learning occurring on the job more
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algorithms for behavioral cue extraction and novel approaches for the modeling people interaction, with application to medical research and affective computing. Responsibilities: Write code and develop novel
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to strengthen the security and resilience of computer systems and networks; and The Software Solutions Division, which focuses on improving lifecycle engineering technologies and assuring complex, software
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include: Implement and oversee the CMU Grow Initiative for student staff development. CMU Grow is a university-wide high-impact educational practice that aims to make the learning occurring on the job more
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based at the CMU‑Africa campus in Kigali. These roles are well suited to individuals who are passionate about research and eager to contribute to high‑impact projects aligned with CMU‑Africa’s mission
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designed to involve: close work with Professors Lindsay Larson and Anna Mayo at Heinz College on a sponsor-funded project; mentorship and time to advance a research program in the area of human-AI teaming