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Field
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(CATION) Within the PIIO, the Center for AI in Immuno-Oncology (CATION)—directed by Dr. Qin Ma Ma—is redefining how artificial intelligence transforms cancer research and treatment. CATION develops
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Vision Group (PVG) at McGill University and Mila—Quebec Artificial Intelligence Institute, led by Prof. Tal Arbel, seeks Postdoctoral Fellows to advance causal-temporal and probabilistic modeling, 3D
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models Experience in artificial intelligence to develop the algorithms for digital twins Experience with both qualitative and quantitative data analysis techniques Experience in cleaning and analyzing
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understanding of artificial intelligence applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI
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assurance, financial crime, synthetic data, LLM orchestration, and agentic workflows? We are seeking a Postdoctoral Research Associate (PDRA) in Artificial Intelligence and Reinforcement Learning to join a
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involved in supporting research to test how we can personalise treatment for depression, using new methods including artificial intelligence and technology-based interventions (e.g., digital mental health
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field. Certification and Licensing: Not applicable. Experience: Extensive experience in robotics system design, real-time control, and embedded systems integration. Demonstrated expertise in artificial
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climate scientists and artificial intelligence experts to generate new projections of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine
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understanding of artificial intelligence applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI
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Experience Doctoral degree in Cognitive Science/Psychology, public health, computer science/artificial intelligence (AI), informatics, or a related field required. Qualified candidates must be in the process