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engineering, manufacturing, and artificial intelligence. Responsibilities: Conduct comprehensive literature reviews on machine learning techniques applicable to design-manufacturing integration. Pre-process
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the Department of Mechanical Engineering, is seeking a motivated and skilled Research Assistant to support cutting-edge research in predictive simulation of human-machine interaction, specifically focused
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in colocalization analysis and CT-scanning is an asset. Experience in machine learning is an asset. Start date January 2026. Contract of 2 years, renewable upon the availability of funding and other
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such as ECG, Echo, Pulse wave velocity, direct or indirect tonometry, Doppler ultrasound, oscillometric analysis, and magnetic resonance imaging (MRI). Using machine learning and AI techniques, the project
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inverse modeling methods, machine learning, and artificial intelligence techniques. Appointment Details: Start date: As early as March 1, 2026. Annual Salary: $55,000 Application review: Ongoing until
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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Research Assistant 1 position is based in Prof. Narges Armanfard's research lab in the department of Electrical and Computer Engineering. This Research Assistant role supports the development of AI-based
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 19 hours ago
psychological experiments including computer programming, data analysis, and eye-tracking. Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing
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field. Demonstrated experience with single-cell and/or spatial transcriptomic analysis (Scanpy, Seurat, Squidpy, etc.). Strong programming proficiency in Python and R; experience with machine-learning
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are properly trained on the ultrafast laser systems. - Maintain and operate high and ultra-high vacuum systems for the purpose of electron scattering experiments. - Work with the Machine Shop personnel