17 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" positions at Carnegie Mellon University in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, Pennsylvania. Its mission is to support the use of new technologies for mathematical research, including interactive theorem proving and formalization, automated reasoning and symbolic AI, and machine learning
-
university’s creative, dedicated and close-knit community. We place emphasis on practical problem solving, interdisciplinary learning, a transformative spirit, and collaboration. The Human-Computer Interaction
-
, United States of America [map ] Subject Area: Formal Methods and Machine Learning for Mathematics Appl Deadline: none (posted 2025/10/03) Position Description: Apply Position Description The Institute for Computer-Aided
-
We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling for a one-year Postdoctoral position. Using recent
-
is seeking a Front-End Developer. The TEEL Lab (https://www.cmu.edu/teel/) develops data-informed educational technology to improve teaching and learning in computing and STEM disciplines. Our work
-
of statistics and machine learning. Collaboration, both within the Department and across the university, is a core value of the Department and a hallmark of the research work of our faculty. The Department boasts
-
expertise in language technologies. The LTI is dedicated to the study of human language and related information technologies, including NLP, speech, MT, computational linguistics, text mining, machine
-
Learning Squared project, run by the Human-Computer Interaction Institute at Carnegie Mellon University aims to double the rate of math learning in middle school students, particularly those who have been
-
, genetics/genomics, public policy, high-dimensional inference, sports analytics, and theory and methods at the intersection of statistics and machine learning. Collaboration, both within the Department and
-
, and theory and methods at the intersection of statistics and machine learning. Collaboration, both within the Department and across the university, is a core value of the Department and a hallmark of