32 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" positions at Carnegie Mellon University in United States
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Carnegie Mellon University, Institute for Computer-Aided Reasoning in Mathematics Position ID: 3637-PF [#27988] Position Title: Position Type: Postdoctoral Position Location: Pittsburgh
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CMU in Qatar CMU in Qatar (CMUQ) operates in concert with several other American and European branch campuses under the umbrella of Qatar Foundation’s Education City (https://www.qf.org.qa/education
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 05-Mar-26 Location: Pittsburgh, PA Categories: Academic/Faculty Internal Number: 182578 The Computer
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candidates in all areas of statistics and data science, as well as related interdisciplinary fields. Potential areas of interest include but are not limited to computational finance, statistical theory
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-sensory-guided behavior. The lab uses animal behavior, optogenetics, multi-area in vivo electrophysiology, and computational modeling tools to study information flow between cortical and subcortical brain
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described by the university policy on research faculty appointments, https://www.cmu.edu/policies/faculty/appointments-research-faculty.html . The Department of Mathematical Sciences has over forty tenure
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work environment. We are seeking a part-time Research Assistant in computer vision and machine learning for human behavior analysis and modeling. The successful candidate will investigate new algorithms
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Carnegie Mellon University, Institute for Computer-Aided Reasoning in Mathematics Position ID: 3637-IE [#27235] Position Title: Position Type: Other Position Location: Pittsburgh, Pennsylvania 15237
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recognize multimodal human behavior in real world settings (e.g., Affective Computing, AI for Healthcare: pain measurement, monitoring mental health disorders). The successful candidate will have primary
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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