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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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willingness to learn new skills such as machine learning techniques and algorithms are considered strong assets. Experience in developing experimental setups and conducting physical tests is beneficial
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demonstrate curiosity and enthusiasm to quickly learn and integrate knowledge on new topics. This position will remain open until Feb 15, 2024 but review of applications will begin on Jan 31, 2024. Duties
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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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behavioural/neural research examining how learning and cognitive abilities allow animals to solve problems they face in the wild (e.g., foraging, how to know what nest to build). Our work is currently focused
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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