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responsibilities include: Integrate multimodal LLMs (e.g., llama3.2-vision) into IMAGE by using prompt engineering, RAG, few-shot training, and other techniques to reliably extract key information from textbook
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a part-time Research Assistant 1 position in the Shared Reality Lab in the Department of Electrical and Computer Engineering. It is six months position, with the possibility of renewal. Position
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: Mechanical Engineering The Research Assistant position is to lead an experimental study of Phonation Function using a rabbit animal model. Responsibilities: Build the apparatus Perform the measurements Collect
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 11 hours ago
design an optical system that can be easily built and used by non-expert users. The applicant will work closely with the inventors of RAP technology and a group of academic and industry collaborators
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: Mechanical Engineering POSITION SUMMARY: The Research Assistant will assist the Research Supervisor and investigate neural-network-based architectures for the prediction of unsteady flow over automotive
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Research Assistant 2 position is based in Prof. Aditya Mahajan's research lab in the department of Electrical and Computer Engineering. Project overview: We invite applications for a researcher to work on a
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codebase. Qualifications: - Possesses subject matter expertise acquired through a BSc/Bachelor of Engineering or higher degree - Has a minimum of 2 years relevant experience to the research project
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: 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 conducting research projects
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students across Canada to design, implement, simulate, and test RTL designs for scientific instrumentation. Responsibilities include: Managing multiple projects simultaneously using established engineering
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. Kwofie, Bioresource Engineering Position Summary: (1) Technical Development:(a) Design and implement machine learning models using Python, TensorFlow, PyTorch, and Keras for predictive analytics and