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required. To learn more about these options, please contact the NRC Hiring team using the contact information below. Note: This is for three continuing positions and anticipatory staffing for position(s) of
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operation of central administrative data centres and telecommunications services. If you’re motivated and passionate about learning technologies and dedicated to improving experiences for today’s student
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clusters, GPU-enabled systems, job schedulers (e.g., Slurm), and parallel computing workflows supporting simulations, bioinformatics, machine learning, or large-scale data analysis Experience managing
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believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment
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variety of perspectives and help students develop the skills to apply what they learn in the classroom to the world around them. We are also home to professors committed to undergraduate education froma
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functions and operational activities Communicates and acts in a respectful and professional manner, collaborates effectively, abides by policy, and contributes to a positive and productive work and learning
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consecutive years, Carleton University is one of Canada’s most resourceful and productive hubs of learning and research, fuelling a rich talent pipeline that is supporting social and economic renewal
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Date Posted: 08/07/2026 Req ID: 49772 Faculty/Division: Faculty of Applied Science & Engineering Department: Dept of Electrical & Computer Eng Campus: St. George (Downtown Toronto) Position Number
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of machine learning / AI methods and their applications to experimental data; Knowledge of data science (statistics and quality control) as it relates to experimental data and ability to automate data storage
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of the following criteria: Technical competencies Knowledge of machine learning / AI methods and their applications to experimental data; Knowledge of data science (statistics and quality control) as it relates