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Number: J1225-0224 Job Title: Future Learning Lab Project Coordinator Job Type: Career Development Assignment (CDA) Department: Teaching Excellence and Innovation Job Category: Student Services Number
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A job description is available upon request Date Posted: 12/22/2025 Req ID: 46509 Faculty/Division: Faculty of Arts & Science Department: Experiential Learning & Outreach Support Campus: St. George
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Loading / Chargement... Help Dashboard Dashboard Dashboard Recruiter Login English English We are sorry this posting does not have information in your chosen language Learning Technologist Job ID
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of the fundamental theory of deep learning along with significant experience in the development of software applications that employ neural network and deep learning approaches to computer vision, natural
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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Student Management, Level D Job Title Associate Director, Experiential Learning and Professional Development Department
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Loading / Chargement... Help Dashboard Dashboard Dashboard Recruiter Login English English We are sorry this posting does not have information in your chosen language Learning Design Specialist Job
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Please note that a strong internal candidate has been identified. Primary Purpose: Extended Learning (EL) is a new unit in Registrarial Services supporting registration and student records for non
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: Optical Fibre Communications; David Plant ECSE 551: Machine Learning for Engineers; Mark Coats ECSE 552: Deep Learning; Course Lecturer ECSE 554: Applied Robotics; Hsiu-Chin Lin ECSE 597: Circuit Simulators
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 1 month ago
for a full-time Lecturer position in the area of Adult Learning and Global Change. This position will also work as the Program Coordinator for the online Master of Education in Adult Learning and Global
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, integrating and interpreting them across modalities remains a fundamental challenge. The successful candidate will develop computational and machine-learning frameworks for multimodal neuroscience data