41 structural-engineering "https:" "https:" "https:" "https:" "Universidade do Minho CTAC" research jobs at McGill University
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, and document issues related to: Voice-to-text data entry and transcription workflows Image-to-image transformations and ML-based visual processing Negative prompting and prompt-engineering behavior
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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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Advancing a fiber surface modification technology that was recently filed for provisional patent Refining the business model for the technology New research and development activities for the technology
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 1 month ago
assistant 1 position will join our inter-disciplinary program at the Department of Physiology. Our research interest is CFTR and other membrane protein folding, misfolding, structure-traffic relationship and
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structure), coding and running analyses using a variety of statistical methods, interpreting results and preparing research manuscripts. To do so, he will rely on his advanced programming skills, familiarity
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, and document issues related to: Voice-to-text data entry and transcription workflows Image-to-image transformations and ML-based visual processing Negative prompting and prompt-engineering behavior
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: The Centre for Media, Technology, and Democracy at McGill University is seeking applications for part-time Research Assistant to work on the Centre’s strategic policy file for Online Harms and AI Policy
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publications. Qualifications: Strong academic background in ecology, environmental science, geography, engineering, or a related field (Master’s degree completed or equivalent). Proficiency in at least one of
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or similar tools. Master's Degree in Chemical Engineering or relevant discipline. Other Qualifying Skills: Knowledge of French and English: McGill University is an English-language university where day to day
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: Sound knowledge of how to customize LLMs (For example: model selection, pre-training, fine-tuning, RAG) Strong knowledge of prompt engineering; Strong knowledge of programming software for customizing