12 Computer Science Fellowship research jobs at Carnegie Mellon University in United States
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) Position Description: Apply Position Description The Institute for Computer-Aided Reasoning in Mathematics is a new US National Science Foundation Mathematical Sciences Research Institute, located
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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Python, R, or MATLAB. Knowledge of systems biology and integrative approaches to studying microbial communities. Experience in mentoring and teaching Qualifications: A Ph.D. in Computational Science
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deployment, and leadership skills. Function 3 Postdoctoral researchers are expected to: Lead research projects within one of the focus areas above. Publish in leading robotics, computer vision, and machine
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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) was launched to bring together faculty and staff from across the University to conduct multi-disciplinary work to advance the state of brain science. We are seeking a Post-Doctoral Research Associate
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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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of computer graphics, human-computer interaction, computer vision, and machine learning. Conducting comprehensive literature reviews in related areas, including deep generative models, image and video synthesis
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under the mentorship of the project director, Prof. Simon DeDeo, and a board of advisors in mathematics (Akshay Venkatesh, Michael Harris, Simon Rubinstein-Salzedo), computer science (Dana Randall, Scott
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political attitudes, reducing belief in conspiracy theories, and, more recently, increasing belief in them. The research sits at the intersection of AI safety and behavioral science, examining both