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contact the NRC Hiring team using the contact information below. The role We are looking for a Research Officer (RO) with experience in a variety of accelerated process optimization aspects to be
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optimization, digital health adoption, and practice transformation. The opportunity The IT Management Department at the Ted Rogers School of Management (TRSM), Toronto Metropolitan University (TMU), invites
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optimization aspects to be at the forefront of our accelerated material discovery/process optimization platforms at the NRC Research Facility in Mississauga. The selected candidate would be someone who shares
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to ensure the most efficient and optimal performance of SHCS HVAC and Refrigeration systems, minimize equipment downtime, maintain and extend equipment service life. Refrigeration Mechanics ensure safe
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. The Research Associate will work on the computer simulation of new ultrasound transducers, optimization of performance parameters, design of real-time ultrasound devices, testing, and data analysis of ultrasound
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Optimization/Honours Linear Optimization - MATH 417/517 (Fall 2026 Aug to Dec) Total Hours of Work per Term: 75 Hours Position Summary: *NOTE: Please apply through the Careers website as an "External Candidate
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transformation and business process optimization initiatives. Under general direction, the incumbent develops and implements assigned projects; serving as a single point of contact throughout the project lifecycle
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literature. Main responsibilities • Design, implement and optimize signal-processing, statistical and machine-learning algorithms for eye-movement (oculomotor) and voice/speech data. • Validate
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optimization of novel acquisition and analysis methods for the forthcoming 9.4 T Bruker MRI system, as well as active collaboration with MR Unit team members and platform users. The candidate will be asked
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priorities and environmental factors. Ensuring data integrity across all communications, and delivering optimal customer service to various groups of stakeholders, this role is tasked with gathering relevant