12 formal-verification-computer-science Fellowship positions at Carnegie Mellon University
-
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
-
fostering engaging and effective learning through the power of play. The ETC, a joint venture between CMU's School of Computer Science and College of Fine Arts, is renowned for its interdisciplinary, project
-
fostering engaging and effective learning through the power of play. The ETC, a joint venture between CMU's School of Computer Science and College of Fine Arts, is renowned for its interdisciplinary, project
-
, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
-
, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
-
or microworlds, conduct laboratory studies, and construct computational cognitive models including paradigms in Cognitive Science (Instance-Based Learning models) or AI (Reinforcement Learning). The fellow will
-
duties as assigned. Requirements: Doctorate Degree in Computer Science, Electrical Engineering, or a related field. Strong background in computer vision and deep learning. Proven record of first-author
-
the full spectrum of advantages from comprehensive medical, prescription, dental, and vision insurance to an enticing retirement savings program offering a generous employer contribution. You can also
-
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
-
to combine the practical and the theoretical, the Robotics Institute has diversified its efforts and approaches to robotics science while retaining its original goal of realizing the potential of the robotics