46 machine learning positions at Thompson Rivers University in Canada

Resource Coordinator - Open Learning

requirements Schedule The hours of work will be Monday to Friday, 7 hours a day, 8:30 am to 4:30 pm Schedule Description DUTIES The Resource CoordinatorOpen Learning coordinates the educational resources used

E-Learning Support Technician

change depending upon departmental requirements Schedule The hours of work will be Monday to Friday, 7 hours a day, 8:30 am to 4:30 pm Schedule Description DUTIES The E-Learning Support Technician's key

Academic/Career(max 24 credits)

in Computer or Software Engineering or an equivalent discipline from a recognized university, and the candidate’s teaching and research experience must be within the core areas of Computer or Software

Technical Theatre Coordinator

and ability to sew by hand and with machine Knowledge and skilled in scenic construction techniques for theatre.  Proficient in the use of woodworking equipment, smaller power tools and hand tools

Career Education Assistant

concurrently, and to maintain and report on data Ability to plan multiple tasks in a timely fashion Ability to learn new systems quickly Advanced computer knowledge with a high level of understanding

Enrolment Services Officer

contact channels for TRU students seeking Campus and Open Learning programs and courses. This position is often the first point of contact in Enrolment Services and contributes to a strong, positive student

Academic Advisor

audience, both verbally and in writing, including strong interviewing, listening and interpreting skills Ability to use multiple computer software packages (i.e. Microsoft Office) Effective research

Library Technician

. Processes payments for library fines using point of sale machine. Sends and receives books by mail to and from libraries across North America. Scans and sends book chapters and journal articles, following

Events and Marketing Assistant, Advancement

in writing for diverse audiences Demonstrated advanced computer literacy skills in MS Office or comparable software, Adobe Suite and desktop publishing skills Demonstrated understanding of Google

Open Learning Faculty Member (Web): COMP 3711: Artificial Intelligence

-based systems, and probabilistic reasoning. Soft computing techniques include fuzzy systems, neural networks, and genetic algorithms. Students learn the basic concepts of machine learning and the