169 machine-learning "https:" "https:" "https:" "https:" positions at Northeastern University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
), psychophysics (in person and online), computational modeling, and machine learning to arbitrate among competing hypotheses about the neural mechanisms of conscious awareness. The lab investigates how we see, how
-
About the Opportunity The Speech Motor Impairment and Learning (SMILe) Lab at Northeastern University, directed by Dr. Kristen Allison, seeks a motivated and highly capable individual to serve as a
-
, the Institute for Experiential AI, the Khoury College of Computer Sciences, the College of Social Sciences and the Humanities, the College of Arts, Media and Design, and other units at Northeastern
-
health, and artificial intelligence; investigate AI applications for personalized music therapy and brain health interventions; and explore machine learning approaches to understanding musical cognition
-
, machine learning, robotic process automation, and the like. Audit work performed must adhere to the Institute of Internal Audit’s (IIA) Standards for the Professional Practice of Internal Auditing. Through
-
requires significant experience in classical machine learning methods such as decision trees, gradient boosting machines, and both shallow and deep learning networks. A demonstrated ability to interface with
-
About the Opportunity About the Institute Do you want to be part of an exciting new Institute focused on combining human and machine intelligence into working AI solutions? We are launching a
-
systems, offering concentrations in machine learning, robotics, computer vision, energy systems, and process engineering. This innovative program combines technical rigor with applied learning opportunities
-
About the Opportunity About the Opportunity Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned
-
. QUALIFICATIONS: The candidate should have hands-on experience in programming and software development, with proficiency in Python, JavaScript, and TypeScript. A solid foundation in machine learning, large-data