Sort by
Refine Your Search
-
& Computer Engineering, Computer Science, Information Technology, or a closely related field Strong interest in supporting high?quality research aligned with CMU Africa?s mission of driving digital
-
. The Department seeks strong 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
-
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
-
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
-
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
-
-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
-
Computing is a plus Why Carnegie Mellon? We are dedicated to fostering an inclusive and diverse environment. We encourage candidates from all backgrounds to submit their applications. We are an employer
-
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
-
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
-
laboratory technician to play a key role in detector development for high-energy physics experiments. Learn more about this exciting department at https://www.cmu.edu/physics/research/nuclear-particle.html