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. Qualifications: A doctoral degree in epidemiology Knowledge of advanced epidemiologic methods Strong data manipulation and analytic skills using statistical programming software, e.g., SAS Demonstrated ability
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 1 month 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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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 3 days ago
scientific manuscripts tied to your research. Keep detailed and organized records of experiments, protocols, and both raw and analyzed data per lab standards. Ensure the workspace is organized, clean, and
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participating in the collaborative development of: (1) spatially explicit baseline data of cropping practices, including identification of representative crop rotations, and (2) spatially explicit baseline
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continue until the positions are filled. Further Information Please review this website for additional details. Equity and diversity are essential to academic excellence. An open and diverse community
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working under the direct supervision of a Scientific Associate to perform and coordinate pathology-related tasks. Additional information about the Notta Lab can be found at: Website: https
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research tasks, including experiment setup, data collection, and analysis. Recommend and implement improvements to existing methods and processes. Contribute to research publications and technical
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, data collection, and statistical analysis. Assist in managing and maintaining research databases and methodological resources, ensuring accessibility for CTN+ investigators. Support the planning and
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of behavioral data collection and wireless stimulation and electrophysiological data recording technologies. The project will involve: Help design the neuromodulation platform, integrate the different components
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Muller, to develop analysis pipelines for all EEG sleep, cognitive and behavioral data, and to analyze and characterize sleep architecture, sleep spindles, and slow waves, addressing our major study