6 algorithm-development-"Multiple"-"Prof"-"Prof"-"SUNY"-"Simons-Foundation"-"St" positions at Carnegie Mellon University
-
algorithms for behavioral cue extraction and novel approaches for the modeling people interaction, with application to medical research and affective computing. Responsibilities: Write code and develop novel
-
candidate will investigate new algorithms and models to develop, implement, and test multimodal machine learning algorithms to analyze and recognize multimodal human behavior in real world settings. Specific
-
from multiple disciplines and institutions. RESPONSIBILITIES: Write code and develop novel theoretical and practical state of the art artificial intelligence/machine learning algorithms that are focused
-
development. Familiarity with AI tools and APIs (e.g., OpenAI, Hugging Face, or similar). Excellent communication and teamwork skills. Demonstrated ability to manage multiple tasks and meet deadlines. A
-
and understanding human behavior from video. Specific research topics for human behavior using one or multiple cameras will focus on the design of efficient perceptual algorithms for behavioral cue
-
well as develop and deliver advanced training. This is an excellent opportunity if you thrive on the opportunity for collaboration with complementary groups across PSC, particularly Computational Biology, User