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(or nearly completed) Master's degree in Human-Computer Interaction, Artificial Intelligence, Cognitive Science, or a related discipline. Knowledge of and preferably demonstrated experience with human
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Master’s degree in Data Science, Artificial Intelligence, Computational Linguistics, Computer Science. Has excellent academic writing and oral skills in English. Has experience with large language models
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. Your role will connect Canadian researchers with international science programs, and help grow our collective impact within the global SKA ecosystem. This is a unique chance to lead at the intersection
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, Computer Science and Artificial Intelligence. The environment fosters truly interdisciplinary research with a great track record of national and international collaboration transferring knowledge across domains
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of English and French. Spanish is an asset. - Availability for presential meetings. - Ability to use cloud platforms, websites, Word and Excel. - Excellent organizational, interpersonal, and communication
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, Computer Science and Artificial Intelligence. The environment fosters truly interdisciplinary research with a great track record of national and international collaboration transferring knowledge across domains
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the following traits: Educational background: A master’s degree in computer science/artificial intelligence with a solid grounding in optical and spectroscopic instrumentation, such as hyperspectral, NIR, and
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* experience writing peer reviewed publications. Experience working in multi-disciplinary teams. Significant* experience setting up custom experiments for data collection and analysis. Experience developing and
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body, university research committee, research team, etc. Build appropriate networks within and outside the team. Ensure that all data collection undertaken as part of the project is done so ethically and
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and assess pupils’ progress in both reading and mental wellbeing. The role offers valuable experience in applied educational research, data collection in school settings, and working directly with