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recruiting two postdoctoral fellows in computational psychiatry focusing on Real-World Applications of Artificial Intelligence (AI) and Machine Learning (ML) on Health Data (e.g., claims, prescriptions
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process-based agro-hydrological models and data by integrating with Machine Learning and Artificial Intelligence approaches at the WSML for agricultural watersheds of western Canada. More specifically, the
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play and learning. The AAT Lab’s technical research is focused on developing new hybrid brain-computer interface (BCI) paradigms, robotic controls, and robotic interface designs. Based out
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proficiency in producing high-quality scientific writing. Geospatial Data Science: Good knowledge of geospatial data science. Machine Learning: A solid understanding and practical experience with machine
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$65,000 (commensurate with qualifications) with benefits package found at Postdoctoral Fellows Benefits , university office space, use of appropriate computer services, full access to university libraries
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We are setting up a new lab at the ECE Department, University of Alberta, focusing on exciting research topics in computer vision and machine learning, such as geometric methods for computer vison
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control Proficiency in programming in Matlab, C/C++/C#, Python, PLCs and in an established CAD/CAM software packages Preferred Skills Prior experience working with machine learning, especially deep learning
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strong communication skills Experience working in an academic research organization, and knowledge of clinical trials, statistics, and health concepts. Experience working in machine learning, virtual
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). The position provides opportunities to work on interdisciplinary research team in collaboration with researchers in psychology, gesture studies, and computer engineering (machine learning). The successful
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manufacturing systems (in particular robotic WAAM or laser DED) Experience with programming Motoman and/or ABB robots, including interfacing with ROS Machine learning (OpenAI or PyTorch) The successful candidate