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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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in motor circuitry to motor performance and learning (see PDF). This CIHR-funded research program is comparative, involving experiments in songbirds (zebra finches) and mice, and conducted in
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April 3, 2025 Note: Applications will be accepted until 11:59 PM on the Posting End Date. Job End Date Jun 30, 2026 This offer is conditional upon successful completion of a Criminal Record Check
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 9 days 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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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 6 days ago
least two references. 5. Contact information, including your mailing address, email address, and phone number, as well as citizenship or permanent resident status in Canada. Application should be directed
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://www.schenlabuottawa.com/ Key Responsibilities: Lead a project that identifies the roles of specialized gene expression programs in distinct excitatory and inhibitory neuron subtypes during motor learning. Utilize in vivo
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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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if a candidate is shortlisted) The position is located in Calgary, Alberta. Applications will be accepted until a suitable candidate is identified. The terms and conditions of employment are covered
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with multivariate statistics, machine learning, and/or remote sensing would be an asset. Experience and education: Ph.D. degree in geography, agriculture/agronomy, environmental science, or a related
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group, founded in 2021, is dedicated to advancing our understanding of the neuronal mechanisms of learning and decision-making. We are particularly excited to recruit a promising scientist to investigate