10 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of California, Los Angeles
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
description The Department of Electrical and Computer Engineering at the UCLA Henry Samueli School of Engineering and Applied Science invites applications from highly qualified candidates for Visiting
-
probabilistic graphical models, causal inference techniques, statistical physics, information theory, machine learning, signal processing, and optimization to address complex communication and social science
-
to define reservoir dynamics and clonal evolution. Develop and implement a generative machine learning platform to identify key immunosuppressive metabolites, map metabolic bottlenecks, and prioritize
-
techniques, statistical physics, information theory, machine learning, signal processing, and optimization to address complex communication and social science research problems. They will specifically apply
-
for participant engagement in long-term implanted brain computer interface trials and participate fully in the lab’s activities across campus. This position requires a doctoral-level degree in a relevant field
-
related field, a demonstrated excellence in teaching, knowledge of and experience with R, experience in applied statistics, data science and analytics, methods for analyzing big data and machine learning
-
): https://ucnet.universityofcalifornia.edu/labor/bargainingunits/px/contract.html . Questions about the position should be directed to Professor Erin Sanders O’Leary, Vice Provost for Teaching and Learning
-
++, proficiency with ROS2, experience with GitHub, and experience with the design of machine learning, perception and/or control algorithms for robots • Mechatronics -- extensive experience with CAD-based design
-
examples and applications for topics covered in our program in Artificial Intelligence Technology, Advanced AI Systems and Development, and Machine Learning. Industry experience is a must have. Qualified
-
Technical Proficiencies ● Proficiency in data science and natural language processing techniques for digital humanities research ● AI/Machine Learning Experience: experience working with generative AI, large