39 distributed-systems-networks-phd Postdoctoral positions at Carnegie Mellon University
Sort by
Refine Your Search
-
graph mining and machine learning with a preferred focus on neural network based data modeling and anomaly detection. Background in graph theory, graph learning/inference, and graph mining. PhD must have
-
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
-
significant impact on the world around us. The network and systems lab works on cutting edge networking research with a focus on network measurements and programmable infrastructure. The lab is looking for post
-
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
-
are highly desirable. For the quantitative position, the applicant must have a PhD in computer science, statistics, or related field. Experience with empirical studies of software artifacts and social network
-
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
-
: 2023128 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
-
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
-
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
-
their work. Qualifications: PhD in Machine Learning, Computer Science, or a related field by the time of employment Academic or professional experience in machine learning Excellent interpersonal, organization