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Research Assistant 2 position is based in Prof. Tal Arbel's research lab in the department of Electrical and Computer Engineering. This position provides research, technical, and administrative support for
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: Designing and engineering nanostructures using computational methods Cconducting experiments to assemble and characterize DNA-scaffolded protein mimics Preparing manuscript for research articles Writing grant
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part of the Faculty of Engineering’s Office of E-IDEA (Engineering Inclusivity, Diversity, and Equity Advancement), the E-IDEA Teamwork Program partners with faculty and staff to support interpersonal
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POSITION SUMMARY: The Department of Mining and Materials Engineering at McGill University is seeking a highly motivated and skilled part-time Research Assistant 2 to assist the Research Supervisor in
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metamaterial tessellations. Experimental testing of fatigue properties. Impact testing. Qualifications: Must have recently obtained a Ph.D. degree; preferably in Mechanical Engineering. Extensive experience in
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, Pekrun, Hadwin, Järvenoja, Cutumisu, Lobczowski Miller), health sciences education (Harley, Brydges, Fried, Wiseman, Sun, and Khalil), educational technology (Harley, Cutumisu, Lobczowski), advanced
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the resource constraints of the future electronics readout system. Collaborate closely with researchers at McGill (in both the Departments of Physics and in Computer and Electrical Engineering) and partners
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development experience using Python, ROS2 and software engineering techniques. Extensive knowledge of ML, DL and RL tools, theory and applications. Before applying, please note that to work at McGill University
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degree in Computer Science, Math, Statistics or Engineering programs. Ph.D would be an asset. Knowledge of classification algorithms, vision-language models (VLM) and Hugging Face Transformers is an asset
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preprocessing, feature engineering, and model evaluation using Python. Create visualizations and dashboards using Power BI, Matplotlib, and Seaborn to communicate findings. Collaborate with cross-functional