43 engineering-computation "https:" "https:" "https:" "https:" "https:" "CNRS " Postdoctoral positions at Carnegie Mellon University
Sort by
Refine Your Search
-
Computer Science, AI, Machine Learning, Computer Engineer or a related field. Strong background in machine learning and machine learning frameworks Proficiency in Python and deep learning frameworks A combination of
-
, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
-
curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering ranks among the best in the country. Our research programs are at the forefront
-
, background in neuroscience. Candidates should have prior experience with electrophysiology, behavioral analysis, and stereotaxic surgery. Additional experience in computational methods and programming (Python
-
, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
-
for Similar Jobs About Carnegie Mellon University Carnegie Mellon (www.cmu.edu) is a private, internationally ranked research university with programs in areas ranging from science, technology and
-
Professor Oppenheimer’s laboratory, with opportunities to explore questions in metacognition, decision making, reasoning, pedagogy/education, and how technology shapes cognition. Postdocs will conceive and
-
, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
-
language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative ways to understanding, processing, and
-
Spinoza's Theological-Political Treatise, this Schmidt Sciences-funded phase integrates large language models with computer vision to systematically uncover hidden networks of controversial printing during