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Council of Canada). The research will focus on applying, developing, and implementing novel statistical methods for causal inference, integrative data analysis, and machine learning with large
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they help orchestrate the production and learning of dexterous movements. By gaining a better understanding of these fundamental mechanisms, our ultimate goal is to develop new therapeutic treatments
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Primary Purpose: The Jane and Ron Graham Centre for Scholarship of Teaching and Learning (SoTL) is seeking a highly motivated and dedicated post-doctoral fellow to join our dynamic team
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The Sakata lab at McGill University is looking for motivated graduate (PhD) students and postdoctoral fellows to investigate the contribution of perineuronal nets (PNNs) and parvalbumin (PV) neurons
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of Dr Benoit Gosselin (Université Laval), Guillaume Lajoie (UdeM) and Marco Bonizzato (Polytechnique). It integrates the use of machine-learning approaches to optimize neurostimulation, automation
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. Collaboration with other PhD students, postdocs, and senior researchers from the involved universities will allow us to integrate mathematical and physical models of the data to address the larger project goals
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to global shifts across the tundra biome. Collaboration with other PhD students, postdocs, and senior researchers from the involved universities will allow us to integrate mathematical and physical models
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 20 hours ago
fluorescence data. Developing machine learning methods to optimize data collection. In addition, the project is committed to developing open source tools that benefit the imaging community. The applicant will
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: - To lead the computational part of a collaborative project on AI-assisted design of OPVs - To become knowledgeable in the field of OPVs and the relevant simulations - To learn relevant machine learning
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with collaborators through regular field and/or video-conference meetings.QUALIFICATIONS•Minimum qualifications are a PhD degree that is focused on forest ecology, wildfire ecology, silviculture