41 machine-learning "https:" "https:" "https:" "https:" uni jobs at Rochester Institute of Technology in United States
Sort by
Refine Your Search
-
; artificial intelligence and machine learning; cyber-physical systems; micro- and nanoscale systems devices and materials; energy and environment; and data analysis modeling and simulation. Hallmarks
-
9906BR College of Engineering Technology CET Dept of Electrical & Computer Eng Tech Detailed Job Description The Electrical and Computer Engineering Technology (ECET) department in RIT’s College
-
environment High degree of computer literacy; interest and aptitude in learning more about management information systems Required Minimum Education Level Bachelors or Equivalent Experience Work Location Hybrid
-
costume shop machinery, hand tools, laundry machines, and a dye vat. The Costume and Wardrobe Supervisor must be comfortable with/capable of lighting up to 50lbs. Night and weekend availability is required
-
of computer literacy; interest and aptitude in learning more about management information systems Extensive travel required; some evenings and weekends required Ability to manage complex projects and to
-
competence using Microsoft Office (Microsoft Word, Outlook, Excel, and Windows) and enterprise systems appropriate for the front desk position. Experience using electronic health record software with emphasis
-
conduct externally funded research in areas related to Mechatronic and Robotics Systems, with integration of Artificial Intelligence (AI) & Machine Learning (ML). Key expertise areas include: Mechatronic
-
applications for a Tenure Track (TT) position in the area of physics, with a specialization in the development and implementation of techniques of Artificial Intelligence (AI) and Machine Learning (ML) across
-
and healthcare engineering; artificial intelligence and machine learning; cyber-physical systems; micro- and nanoscale systems devices and materials; energy and environment; and data analysis modeling
-
manufacturing; biomedical and healthcare engineering; artificial intelligence and machine learning; cyber-physical systems; micro- and nanoscale systems devices and materials; energy and environment; and data