494 engineering-computation-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Carnegie Mellon University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
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
-
curious to deliver work that matters, your journey starts here! The College of Engineering at Carnegie Mellon is a world-class engineering college recognized for excellence, innovation, and the societal
-
SEI advances software engineering principles and practices and serves as a national resource in software engineering and computer security. The SEI works closely with academia, defense and
-
, which include a capstone project course, a Fellows program, and a range of public-facing events and convenings such as the Emerging Tech Showcase. Joining CSL offers the opportunity to work at the
-
: Bachelor's Degree in Computer Science, Computer Engineering, AI or a related field. Experience with Python programming and Deep Learning frameworks (PyTorch). Experience with Large Language Models (LLMs) and
-
curious to deliver work that matters, your journey starts here! The Civil and Environmental Engineering Department at Carnegie Mellon offers a unique interdisciplinary program that enables you to develop
-
Systems (S3D) is one of the seven academic departments of the Carnegie Mellon School of Computer Science (SCS). S3D hosts the SCS PhD programs in Software Engineering (SE) and Societal Computing (SC), along
-
support the mission of the university through their work. Qualifications Bachelor's Degree in Computer Science and/or Software Engineering; Master's Preferred Experience in building software infrastructure
-
candidates in all areas of statistics and data science, as well as related interdisciplinary fields. Potential areas of interest include but are not limited to computational finance, statistical theory
-
, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In