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actions Developing useful practical applied tools for identifying and communicating key locations for restoring perennial features in agricultural landscapes Collaborating across disciplinary teams
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the graduate program, one of the largest in the Faculty of Medicine, which has been recognized by UBC for its quality. The Department plays a major role in the MD undergraduate program and offers an accredited
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integrates clinical, molecular, and real-world data with emerging computational approaches, including large language models, predictive modelling, and multi-omics data integration. The lab coordinates and
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activation, and neuroimmune communication. Apply advanced microscopy techniques including confocal microscopy, live-cell imaging, high-content imaging, and three-dimensional image analysis. Perform and
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to manage complex projects and work independently. · Demonstrated commitment to research reproducibility and rigorous scientific practices. · Excellent written communication skills, including
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independently. · Demonstrated commitment to research reproducibility and rigorous scientific practices. · Excellent written communication skills, including experience assisting with grant writing
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PERCS, please visit our website: https://percs.landfood.ubc.ca/ . Questions about this position can be directed to Dr. Juliet Lu ([email protected] ); questions regarding the other two positions can be
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place across our campuses through research, learning, teaching, and community building, and is centralized within our Indigenous Initiatives Office (https://uwaterloo.ca/human-rights-equity-inclusion
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
beyond them: Foundation models and large language models in clinical settings (EHR, clinical notes, patient communication) Speech and language biomarkers for neurological and cognitive disease (dementia
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, please visit: https://www.limbnetwork.com/home RESPONSIBILITIES Reporting to Dr. Anthony Cooper, the successful candidate will develop, validate, and deploy ML models to improve clinical decision-making