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National Research Council Canada | National Capital Region Almonte, Ontario | Canada | about 4 hours ago
the NRC Hiring team using the contact information below. The role #LI-DNI Help bring research to life and drive your career forward with the NRC, Canada's leading research and technology organization
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, including among others the Journal of Management, Journal of Management Information Systems, Human Relations, Organization Studies, California Management Review, Work, Employment and Society, Human Resource
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animals. Manuscript preparation. Data analysis Maintain accurate laboratory documentation of experiments, including raw experimental data and laboratory notebooks. Follow standards of responsible conduct in
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multiple sclerosis—leads to impaired movement, unstable gait, and reduced quality of life. This project will develop an adaptive stimulation interface that uses real-time position-sensor data to estimate
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the rich, unstructured information found in clinical notes and cannot effectively gather data on lifestyle and social determinants of health. This PhD project will pioneer a novel, hybrid AI framework
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hybrid (symbolic and sub-symbolic) AI approaches to help users formulate and translate natural language questions into structured representations that can be linked to geospatial data sources and workflows
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data, and digital process tools to support the scalable production of resilient, build-ready reactor components. Please contact Dr Kai Zhang (k.zhang@bristol.ac.uk) for further information. This project
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-based optimization, enabling autonomous measurement campaigns and real-time data assimilation. This research combines fluid mechanics, artificial intelligence, and robotics to establish the foundation
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(sleep stage) classifiers based on the data available to implanted DBS systems, with the ultimate goal of enabling brain state optimised therapy. Specifically, this means developing sleep staging
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technology increases the grid’s exposure to cyber-attacks, which can compromise measurement signals, disrupt control commands, or induce model or data-driven instability. This project aims to develop a robust multi