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. -Machine learning code generation for autonomous translation of payload data semantics. -Dictionary learning and algorithms for translation between major data modeling languages. -Model-based System
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information from high-quality videos that share content with distorted footage as constraints in the learning process of modelling algorithms. This method uses the characteristics and knowledge embedded in high
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experience mentoring graduate students and contributing to the development of grant proposals • Research background spanning multiple emerging areas such as AI/ML for communication systems, age of information
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conditions, trip characteristics, and user preferences. Defined routes trade-off multiple criteria, where the exact importance of each objective is user dependent, and can be learned and improved over time
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National Research Council Canada | National Capital Region Almonte, Ontario | Canada | about 3 hours ago
at all levels. We value teamwork. You’ll collaborate across multiple fields and with the brightest minds to find creative solutions. Most importantly, you’ll discover what’s possible within you as you grow
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practices. Qualifications: A PhD in the Social Sciences or the Humanities. Strong research and writing skills, demonstrated in the publication of multiple peer reviewed journal articles. Deep familiarity with
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algorithms and deep learning models. Have proficiency in Python in a Linux environment and development experience using Tensorflow or PyTorch. Have strong linear algebra and computer vision knowledge. Have
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Thebault labs are seeking a skilled and motivated Research Assistant to support data analysis and pipeline development for cutting-edge research in neuroinflammation, multiple sclerosis, and
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· Gender-friendly environment with multiple actions to attract, develop and retain women in science · 32 days’ paid annual leave, 11 public holidays, 13-month salary, statutory health insurance
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executing data collection and analysis for multiple research projects, with special attention to Crisis Response projects. Candidate must have a degree – preferably a master’s degree, PhD, or PhD candidate